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Evaluating Recommender Systems: Survey and Framework
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45691-0_34openalex-snapshot
The Philosophy of Information Retrieval Evaluation
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_15openalex-snapshot
Designing and Evaluating Explanations for Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_1openalex-snapshot
Recommender Systems: Techniques, Applications, and Challenges
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_14openalex-snapshot
Value and Impact of Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_15openalex-snapshot
Evaluating Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_16openalex-snapshot
Novelty and Diversity in Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_2openalex-snapshot
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_3openalex-snapshot
Advances in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_6openalex-snapshot
Context-Aware Recommender Systems: From Foundations to Recent Developments
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_7openalex-snapshot
Semantics and Content-Based Recommendations
inferredcites →https://doi.org/10.1007/978-1-4471-4778-7_8openalex-snapshot
Evaluating Recommender Systems for Supportive Technologies
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_4openalex-snapshot
Semantics-Aware Content-Based Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_9openalex-snapshot
Evaluating Recommender Systems with User Experiments
inferredcites →https://doi.org/10.1007/978-3-030-15719-7_27openalex-snapshot
Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations
inferredcites →https://doi.org/10.1007/978-3-319-24592-8_12openalex-snapshot
A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-75067-5_3openalex-snapshot
Evaluating Group Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_10openalex-snapshot
Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot
Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-540-78197-4_5openalex-snapshot
Metrics for Evaluating the Serendipity of Recommendation Lists
inferredcites →https://doi.org/10.1007/978-3-642-12630-7_47openalex-snapshot
User-Centric Evaluation Framework for Multimedia Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-13287-2openalex-snapshot
Music Recommendation and Discovery
inferredcites →https://doi.org/10.1007/978-3-642-23765-2_11openalex-snapshot
Looking for “Good” Recommendations: A Comparative Evaluation of Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-32273-0_7openalex-snapshot
Recommender Systems in Computer Science and Information Systems – A Landscape of Research
inferredcites →https://doi.org/10.1007/978-3-642-33326-2_7openalex-snapshot
Recommender Systems: Sources of Knowledge and Evaluation Metrics
inferredcites →https://doi.org/10.1007/978-3-642-45135-5_10openalex-snapshot
Dimensions and Metrics for Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1007/978-981-10-0557-2_112openalex-snapshot
Recommender Systems: Issues, Challenges, and Research Opportunities
inferredcites →https://doi.org/10.1007/s00799-015-0156-0openalex-snapshot
Research-paper recommender systems: a literature survey
inferredcites →https://doi.org/10.1007/s10115-018-1324-5openalex-snapshot
Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems
inferredcites →https://doi.org/10.1007/s10618-008-0114-1openalex-snapshot
Controlled experiments on the web: survey and practical guide
inferredcites →https://doi.org/10.1007/s10660-018-9321-zopenalex-snapshot
Situation awareness for recommender systems
inferredcites →https://doi.org/10.1007/s10791-020-09371-3openalex-snapshot
Offline evaluation options for recommender systems
inferredcites →https://doi.org/10.1007/s11257-011-9112-xopenalex-snapshot
Recommender systems: from algorithms to user experience
inferredcites →https://doi.org/10.1007/s11257-011-9115-7openalex-snapshot
Evaluating recommender systems from the user’s perspective: survey of the state of the art
inferredcites →https://doi.org/10.1007/s11257-011-9118-4openalex-snapshot
Explaining the user experience of recommender systems
inferredcites →https://doi.org/10.1007/s11257-019-09256-1openalex-snapshot
Multistakeholder recommendation: Survey and research directions
inferredcites →https://doi.org/10.1007/s11257-020-09274-4openalex-snapshot
Research directions in session-based and sequential recommendation
inferredcites →https://doi.org/10.1007/s11257-020-09284-2openalex-snapshot
Exploring author gender in book rating and recommendation
inferredcites →https://doi.org/10.1007/s11257-021-09302-xopenalex-snapshot
Improving accountability in recommender systems research through reproducibility
inferredcites →https://doi.org/10.1007/s12124-015-9339-xopenalex-snapshot
Why Psychology Cannot be an Empirical Science
inferredcites →https://doi.org/10.1007/s13740-016-0060-9openalex-snapshot
Content-Based Video Recommendation System Based on Stylistic Visual Features
inferredcites →https://doi.org/10.1007/s40881-015-0005-3openalex-snapshot
Online field experiments: a selective survey of methods
inferredcites →https://doi.org/10.1016/0022-2496(75)90001-2openalex-snapshot
The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
inferredcites →https://doi.org/10.1016/0197-2456(81)90056-8openalex-snapshot
A method for assessing the quality of a randomized control trial
inferredcites →https://doi.org/10.1016/j.chbr.2020.100052openalex-snapshot
Digital nudging with recommender systems: Survey and future directions
inferredcites →https://doi.org/10.1016/j.dss.2016.06.017openalex-snapshot
Who should you follow? Combining learning to rank with social influence for informative friend recommendation
inferredcites →https://doi.org/10.1016/j.future.2021.08.025openalex-snapshot
Enabling cross-continent provider fairness in educational recommender systems
inferredcites →https://doi.org/10.1016/j.ijhcs.2010.01.002openalex-snapshot
In situ evaluation of recommender systems: Framework and instrumentation
inferredcites →https://doi.org/10.1016/j.ijhcs.2019.06.006openalex-snapshot
Measuring the impact of online personalisation: Past, present and future
inferredcites →https://doi.org/10.1016/j.jcps.2015.12.004openalex-snapshot
A meta‐analytic synthesis of the question–behavior effect
inferredcites →https://doi.org/10.1016/j.jenvp.2014.09.003openalex-snapshot
The validity of self-report measures of proenvironmental behavior: A meta-analytic review
inferredcites →https://doi.org/10.1016/j.knosys.2017.02.009openalex-snapshot
Diversity in recommender systems – A survey
inferredcites →https://doi.org/10.1016/j.knosys.2018.04.007openalex-snapshot
Evaluating recommendation and search in the labor market
inferredcites →https://doi.org/10.1016/j.pmcj.2016.09.020openalex-snapshot
DataGenCARS: A generator of synthetic data for the evaluation of context-aware recommendation systems
inferredcites →https://doi.org/10.1023/a:1009752403260openalex-snapshot
On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach
inferredcites →https://doi.org/10.1023/a:1021240730564openalex-snapshot
Hybrid Recommender Systems: Survey and Experiments
inferredcites →https://doi.org/10.1037//0033-2909.84.5.888openalex-snapshot
Attitude-behavior relations: A theoretical analysis and review of empirical research.
inferredcites →https://doi.org/10.1037//0033-295x.93.2.216openalex-snapshot
Under what conditions does theory obstruct research progress?
inferredcites →https://doi.org/10.1037/h0040950openalex-snapshot
Factors relevant to the validity of experiments in social settings.
inferredcites →https://doi.org/10.1073/pnas.1000488107openalex-snapshot
Solving the apparent diversity-accuracy dilemma of recommender systems
inferredcites →https://doi.org/10.1108/intr-06-2018-0274openalex-snapshot
A factual and perceptional framework for assessing diversity effects of online recommender systems
inferredcites →https://doi.org/10.1109/axmedis.2008.13openalex-snapshot
An Evaluation Methodology for Collaborative Recommender Systems
inferredcites →https://doi.org/10.1109/bigdata.2014.7004317openalex-snapshot
Recommending similar items in large-scale online marketplaces
inferredcites →https://doi.org/10.1109/hicss.2009.117openalex-snapshot
Community-Based Recommender Systems: Analyzing Business Models from a Systems Operator's Perspective
inferredcites →https://doi.org/10.1109/icbda.2017.8078860openalex-snapshot
Unifying explicit and implicit feedback for top-N recommendation
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2012.168openalex-snapshot
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mis.2007.43openalex-snapshot
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1126/science.141.3577.245openalex-snapshot
Information Retrieval Systems
inferredcites →https://doi.org/10.1126/scitranslmed.aaf5027openalex-snapshot
What does research reproducibility mean?
inferredcites →https://doi.org/10.1140/epjds/s13688-021-00268-9openalex-snapshot
Support the underground: characteristics of beyond-mainstream music listeners
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1125451.1125660openalex-snapshot
Making recommendations better
inferredcites →https://doi.org/10.1145/1142405.1142439openalex-snapshot
What do usability evaluators do in practice?
inferredcites →https://doi.org/10.1145/1454008.1454012openalex-snapshot
The long tail of recommender systems and how to leverage it
inferredcites →https://doi.org/10.1145/1454008.1454038openalex-snapshot
A new approach to evaluating novel recommendations
inferredcites →https://doi.org/10.1145/1557019.1557139openalex-snapshot
Seven pitfalls to avoid when running controlled experiments on the web
inferredcites →https://doi.org/10.1145/1639714.1639793openalex-snapshot
Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system
inferredcites →https://doi.org/10.1145/1772690.1772758openalex-snapshot
A contextual-bandit approach to personalized news article recommendation
inferredcites →https://doi.org/10.1145/1864708.1864753openalex-snapshot
Evaluating the dynamic properties of recommendation algorithms
inferredcites →https://doi.org/10.1145/1864708.1864770openalex-snapshot
The YouTube video recommendation system
inferredcites →https://doi.org/10.1145/1869446.1869453openalex-snapshot
Comparison of implicit and explicit feedback from an online music recommendation service
inferredcites →https://doi.org/10.1145/1871437.1871643openalex-snapshot
Unifying explicit and implicit feedback for collaborative filtering
inferredcites →https://doi.org/10.1145/1944339.1944341openalex-snapshot
Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation
inferredcites →https://doi.org/10.1145/2039320.2039330openalex-snapshot
Matrix co-factorization for recommendation with rich side information and implicit feedback
inferredcites →https://doi.org/10.1145/2043932.2043955openalex-snapshot
Rank and relevance in novelty and diversity metrics for recommender systems
inferredcites →https://doi.org/10.1145/2043932.2043957openalex-snapshot
Item popularity and recommendation accuracy
inferredcites →https://doi.org/10.1145/2043932.2043958openalex-snapshot
Rethinking the recommender research ecosystem
inferredcites →https://doi.org/10.1145/2043932.2043962openalex-snapshot
A user-centric evaluation framework for recommender systems
inferredcites →https://doi.org/10.1145/2043932.2043993openalex-snapshot
A pragmatic procedure to support the user-centric evaluation of recommender systems
inferredcites →https://doi.org/10.1145/2151163.2151166openalex-snapshot
Impact of data characteristics on recommender systems performance
inferredcites →https://doi.org/10.1145/2365952.2365983openalex-snapshot
Sparse linear methods with side information for top-n recommendations
inferredcites →https://doi.org/10.1145/2441776.2441933openalex-snapshot
User-centric evaluation of a K-furthest neighbor collaborative filtering recommender algorithm
inferredcites →https://doi.org/10.1145/2487575.2488217openalex-snapshot
Online controlled experiments at large scale
inferredcites →https://doi.org/10.1145/2507157.2507160openalex-snapshot
Evaluation of recommendations
inferredcites →https://doi.org/10.1145/2532508.2532511openalex-snapshot
A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
inferredcites →https://doi.org/10.1145/2532508.2532512openalex-snapshot
Research paper recommender system evaluation
inferredcites →https://doi.org/10.1145/2559952openalex-snapshot
On Unexpectedness in Recommender Systems
inferredcites →https://doi.org/10.1145/2645710.2645737openalex-snapshot
User perception of differences in recommender algorithms
inferredcites →https://doi.org/10.1145/2645710.2645745openalex-snapshot
Offline and online evaluation of news recommender systems at swissinfo.ch
inferredcites →https://doi.org/10.1145/2645710.2645746openalex-snapshot
Comparative recommender system evaluation
inferredcites →https://doi.org/10.1145/2792838.2800192openalex-snapshot
Learning Distributed Representations from Reviews for Collaborative Filtering
inferredcites →https://doi.org/10.1145/2872427.2882971openalex-snapshot
Recommendations in Signed Social Networks
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/2939672.2939746openalex-snapshot
Towards Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/2955101openalex-snapshot
Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications
inferredcites →https://doi.org/10.1145/2957792.2957804openalex-snapshot
An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases
inferredcites →https://doi.org/10.1145/2959100.2959176openalex-snapshot
Contrasting Offline and Online Results when Evaluating Recommendation Algorithms
inferredcites →https://doi.org/10.1145/2959100.2959186openalex-snapshot
Recommendations with a Purpose
inferredcites →https://doi.org/10.1145/2998181.2998211openalex-snapshot
Toward Better Interactions in Recommender Systems
inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3041021.3054197openalex-snapshot
Auditing Search Engines for Differential Satisfaction Across Demographics
inferredcites →https://doi.org/10.1145/3079628.3079668openalex-snapshot
User Perception of Next-Track Music Recommendations
inferredcites →https://doi.org/10.1145/3109859.3109896openalex-snapshot
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3159652.3159687openalex-snapshot
Offline A/B Testing for Recommender Systems
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3213586.3226202openalex-snapshot
UMAP 2018 Intelligent User-Adapted Interfaces
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3219819.3220088openalex-snapshot
Fairness of Exposure in Rankings
inferredcites →https://doi.org/10.1145/3230713openalex-snapshot
A Meta-Model for Information Systems Quality
inferredcites →https://doi.org/10.1145/3240323.3240354openalex-snapshot
Explore, exploit, and explain
inferredcites →https://doi.org/10.1145/3240323.3241622openalex-snapshot
Mixed methods for evaluating user satisfaction
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3287560.3287598openalex-snapshot
Fairness and Abstraction in Sociotechnical Systems
inferredcites →https://doi.org/10.1145/3287560.3287600openalex-snapshot
50 Years of Test (Un)fairness
inferredcites →https://doi.org/10.1145/3292500.3330745openalex-snapshot
Fairness in Recommendation Ranking through Pairwise Comparisons
inferredcites →https://doi.org/10.1145/3298689.3346964openalex-snapshot
Fairness and discrimination in recommendation and retrieval
inferredcites →https://doi.org/10.1145/3298689.3347041openalex-snapshot
Performance comparison of neural and non-neural approaches to session-based recommendation
inferredcites →https://doi.org/10.1145/3298689.3347058openalex-snapshot
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
inferredcites →https://doi.org/10.1145/3308560.3317595openalex-snapshot
Quantifying the Impact of User Attentionon Fair Group Representation in Ranked Lists
inferredcites →https://doi.org/10.1145/3331184.3331202openalex-snapshot
A General Framework for Counterfactual Learning-to-Rank
inferredcites →https://doi.org/10.1145/3334480.3382945openalex-snapshot
Things Change: Comparing Results Using Historical Data and User Testing for Evaluating a Recommendation Task
inferredcites →https://doi.org/10.1145/3340531.3411962openalex-snapshot
Evaluating Stochastic Rankings with Expected Exposure
inferredcites →https://doi.org/10.1145/3340531.3412778openalex-snapshot
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
inferredcites →https://doi.org/10.1145/3370082openalex-snapshot
Measuring the Business Value of Recommender Systems
inferredcites →https://doi.org/10.1145/3404835.3463245openalex-snapshot
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
inferredcites →https://doi.org/10.1145/3406522.3446033openalex-snapshot
Break the Loop: Gender Imbalance in Music Recommenders
inferredcites →https://doi.org/10.1145/3434185openalex-snapshot
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
inferredcites →https://doi.org/10.1145/3447548.3470802openalex-snapshot
Mixed Method Development of Evaluation Metrics
inferredcites →https://doi.org/10.1145/3453154openalex-snapshot
A Survey on Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3460231.3474253openalex-snapshot
The role of preference consistency, defaults and musical expertise in users’ exploration behavior in a genre exploration recommender
inferredcites →https://doi.org/10.1145/3460231.3478848openalex-snapshot
Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?
inferredcites →https://doi.org/10.1145/3483382.3483397openalex-snapshot
Report on the fourth workshop on recommendation in complex environments
inferredcites →https://doi.org/10.1145/3498366.3505791openalex-snapshot
LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
inferredcites →https://doi.org/10.1145/358916.358995openalex-snapshot
Explaining collaborative filtering recommendations
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
inferredcites →https://doi.org/10.1177/0013916509350849openalex-snapshot
Measuring Responsible Environmental Behavior: Self-Reported and Other-Reported Measures and Their Differences in Testing a Behavioral Model
inferredcites →https://doi.org/10.1177/002224298204600407openalex-snapshot
Person-Situation: Segmentation's Missing Link
inferredcites →https://doi.org/10.1177/1745691612463078openalex-snapshot
An Agenda for Purely Confirmatory Research
inferredcites →https://doi.org/10.1561/1100000009openalex-snapshot
Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.1609/aimag.v41i4.5312openalex-snapshot
Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research
inferredcites →https://doi.org/10.17169/fqs-6.2.466openalex-snapshot
Participant Observation as a Data Collection Method
inferredcites →https://doi.org/10.21105/joss.02174openalex-snapshot
Surprise: A Python library for recommender systems
inferredcites →https://doi.org/10.2147/jmdh.s104807openalex-snapshot
Information bias in health research: definition, pitfalls, and adjustment methods
inferredcites →https://doi.org/10.2307/2089456openalex-snapshot
Hawthorne Revisited: Management and the Worker, Its Critics, and Developments in Human Relations in Industry.
inferredcites →https://doi.org/10.2307/25148784openalex-snapshot
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact1
inferredcites →https://doi.org/10.23940/ijpe.17.08.p7.12461256openalex-snapshot
Performance Evaluation of Recommender Systems
inferredcites →https://doi.org/10.2753/jec1086-4415170202openalex-snapshot
Using Recommendation Agents to Cope with Information Overload
inferredcites →https://doi.org/10.2753/mis0742-1222240302openalex-snapshot
A Design Science Research Methodology for Information Systems Research
inferredcites →https://doi.org/10.3389/fdata.2022.913608openalex-snapshot
Fairness in Music Recommender Systems: A Stakeholder-Centered Mini Review
inferredcites →https://doi.org/10.3789/niso-rp-31-2021openalex-snapshot
Reproducibility Badging and Definitions
inferredcites →https://doi.org/10.4018/978-1-4666-2491-7.ch014openalex-snapshot
Experiences in Applying Mixed-Methods Approach in Information Systems Research
inferredcites →https://doi.org/10.4324/9780203726389openalex-snapshot
Measurement, Design, and Analysis
inferredcites →https://doi.org/10.5555/1577069.1755883openalex-snapshot
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aaai.12171openalex-snapshot
Measuring the benefit of increased transparency and control in news recommendation
inferred← citeshttps://doi.org/10.1002/widm.70095openalex-snapshot
Recommender Systems: Taxonomy, Applications and Current Research Trends
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_110162-2openalex-snapshot
Recommender Systems Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-031-28238-6_56openalex-snapshot
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance
inferred← citeshttps://doi.org/10.1007/978-3-031-42286-7_10openalex-snapshot
Towards a Practice-Led Research Agenda for User Interface Design of Recommender Systems
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Introduction to Session-Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-55109-3_9openalex-snapshot
Psychologically Informed Design of Energy Recommender Systems: Are Nudges Still Effective in Tailored Choice Environments?
inferred← citeshttps://doi.org/10.1007/978-3-031-56027-9_9openalex-snapshot
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-73538-7_6openalex-snapshot
Practical Use of AI-Based Learning Recommendations in Higher Education
inferred← citeshttps://doi.org/10.1007/978-3-031-78049-3_16openalex-snapshot
AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-78925-0_31openalex-snapshot
K-Nearest Neighborhood Based Hybrid Recommendation System Using Collaborative Filtering and Meta-Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-83117-1_4openalex-snapshot
Next Application Prediction Enhanced for New Users by Using Data Augmentation with Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-84543-7_25openalex-snapshot
Movie Recommendation Using Web Crawling
inferred← citeshttps://doi.org/10.1007/978-3-031-88711-6_5openalex-snapshot
Evaluating Sequential Recommendations in the Wild: A Case Study on Offline Accuracy, Click Rates, and Consumption
inferred← citeshttps://doi.org/10.1007/978-3-031-88720-8_42openalex-snapshot
Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research
inferred← citeshttps://doi.org/10.1007/978-3-031-88720-8_44openalex-snapshot
Conversational Information Retrieval and Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-92545-0_36openalex-snapshot
PageRank-Based Context-Aware Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-97207-2_38openalex-snapshot
Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research
inferred← citeshttps://doi.org/10.1007/978-3-032-01399-6_12openalex-snapshot
Balancing Ethical Persuasion and Explanation Transparency in XAI: A Formal Framework for Adaptive User Interactions
inferred← citeshttps://doi.org/10.1007/978-3-032-01497-9_15openalex-snapshot
Combining Accuracy and Diversity to Enhance the Quality of the Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-032-10202-7_3openalex-snapshot
A General Framework for Collective Recommendation System Using Dynamic Users Clustering
inferred← citeshttps://doi.org/10.1007/978-3-032-13342-7_2openalex-snapshot
Sustainability Evaluation Metrics for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-15638-9_17openalex-snapshot
User Fairness in Recommender Systems Using Beyond-Accuracy Basket Quality Metrics
inferred← citeshttps://doi.org/10.1007/978-3-032-15806-2_2openalex-snapshot
The Power of Agentic Artificial Intelligence in Modern Product Recommendations and Advertising
inferred← citeshttps://doi.org/10.1007/978-3-032-20897-2_50openalex-snapshot
INSPIRE: A System that Models Authorial Intent for Scholarly Paper Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_18openalex-snapshot
OmniRec: The All-In-One Solution for Reproducible and Interoperable Recommender Systems Experimentation
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_28openalex-snapshot
From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-30860-3_26openalex-snapshot
LLM-Based- vs. Traditional Recommender Systems: Determining User Preferences
inferred← citeshttps://doi.org/10.1007/978-981-92-1546-1_35openalex-snapshot
Three-Stage Hybrid Recommendation System for Personalized Skincare Products and Routines
inferred← citeshttps://doi.org/10.1007/978-981-95-4963-4_5openalex-snapshot
Fuzzy Multimodal Product Retrieval and Recommendation in Vietnamese E-Commerce with LLMs and CLIP
inferred← citeshttps://doi.org/10.1007/978-981-95-6950-2_36openalex-snapshot
CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-7232-2_19openalex-snapshot
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation
inferred← citeshttps://doi.org/10.1007/s00521-023-08610-0openalex-snapshot
Siamese neural networks in recommendation
inferred← citeshttps://doi.org/10.1007/s00521-026-12076-1openalex-snapshot
DaDc: dual attention and dual co-action net for click-through rate prediction
inferred← citeshttps://doi.org/10.1007/s10115-024-02315-zopenalex-snapshot
An introduction to collaborative filtering through the lens of the Netflix Prize
inferred← citeshttps://doi.org/10.1007/s10462-024-10990-1openalex-snapshot
Graph neural networks for multi-view learning: a taxonomic review
inferred← citeshttps://doi.org/10.1007/s10489-026-07187-0openalex-snapshot
Exploiting distribution-based confidence integration in graph neural network recommenders
inferred← citeshttps://doi.org/10.1007/s10664-024-10483-3openalex-snapshot
Engineering recommender systems for modelling languages: concept, tool and evaluation
inferred← citeshttps://doi.org/10.1007/s10844-025-00924-wopenalex-snapshot
MFIEA: entity alignment through multi-modal feature interaction and knowledge facts
inferred← citeshttps://doi.org/10.1007/s10844-026-01045-8openalex-snapshot
Sustainability-aware evaluation metrics for recommender systems
inferred← citeshttps://doi.org/10.1007/s11042-024-18495-3openalex-snapshot
A personalized cross-domain recommendation with federated meta learning
inferred← citeshttps://doi.org/10.1007/s11042-024-20414-5openalex-snapshot
From human-centered to symbiotic artificial intelligence: a focus on medical applications
inferred← citeshttps://doi.org/10.1007/s11042-024-20579-zopenalex-snapshot
CFCAI: improving collaborative filtering for solving cold start issues with clustering technique in the recommender systems
inferred← citeshttps://doi.org/10.1007/s11633-025-1607-8openalex-snapshot
Transformers for Graph-based Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1007/s12053-025-10332-2openalex-snapshot
Goal setting and signposting in a rasch-based recommender system to promote household energy conservation
inferred← citeshttps://doi.org/10.1007/s13198-024-02568-5openalex-snapshot
A data-driven API recommendation approach for service mashup composition
inferred← citeshttps://doi.org/10.1007/s13278-024-01282-1openalex-snapshot
ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media
inferred← citeshttps://doi.org/10.1007/s13735-025-00383-7openalex-snapshot
Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s13735-026-00406-xopenalex-snapshot
A survey of multimodal recommender systems: methods, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s40031-024-01150-8openalex-snapshot
Deep Neural Network Empowered Movie Recommender System Using Hesitant Fuzzy Bi Objective Clustering
inferred← citeshttps://doi.org/10.1007/s40558-024-00301-3openalex-snapshot
A survey on point-of-interest recommendations leveraging heterogeneous data
inferred← citeshttps://doi.org/10.1007/s41060-025-01019-zopenalex-snapshot
A comprehensive survey on multi-behavior recommender systems: extended taxonomy and recent advances
inferred← citeshttps://doi.org/10.1007/s41060-026-01106-9openalex-snapshot
Large language models for generative recommendation: a systematic review of data-centric taxonomy, evaluation, and human-centric analytics
inferred← citeshttps://doi.org/10.1007/s42979-024-02780-xopenalex-snapshot
IoT-AID: An Automated Decision Support Framework for IoT
inferred← citeshttps://doi.org/10.1007/s42979-025-04095-xopenalex-snapshot
Retrieval Augmented Generation Model for Paper Recommendation System
inferred← citeshttps://doi.org/10.1007/s42979-026-05240-wopenalex-snapshot
Interaction-Aware Hybrid Recommendation for Deaf and Hard of Hearing Learners
inferred← citeshttps://doi.org/10.1007/s44163-025-00334-5openalex-snapshot
A review of large language models and the recommendation task
inferred← citeshttps://doi.org/10.1007/s44163-026-02282-0openalex-snapshot
Dual stream adaptive sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120042openalex-snapshot
Here are the answers. What is your question? Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121887openalex-snapshot
IUG-CF: Neural collaborative filtering with ideal user group labels
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125153openalex-snapshot
A novel fuzzy neural collaborative filtering for recommender systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129608openalex-snapshot
Model-agnostic post-hoc explainability for recommender systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129653openalex-snapshot
Trust in recommender systems: A survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130636openalex-snapshot
Knowledge graph enhanced recommendation via context-aware dynamic relation perception and dual-view hierarchical contrastive learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130860openalex-snapshot
HiCORE: Enhancing consumer intent prediction via hybrid attention and contrastive learning in sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.131077openalex-snapshot
BIG-PU: An evaluation metric for exploration based on preference elicitation in recommender systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131233openalex-snapshot
Dual intent-aware contrastive learning on heterogeneous information networks for recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134610openalex-snapshot
Personalized assignment of UAV rescue tasks: an integrated framework of content-based filtering and two-stage robust optimization
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e18183openalex-snapshot
Adaptive genetic algorithm for user preference discovery in multi-criteria recommender systems
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2025.103560openalex-snapshot
De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2026.103741openalex-snapshot
Understanding user preferences in recommender systems: A systematic review with a user-centric perspective in the audiovisual domain
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107410openalex-snapshot
An empirical study on metamorphic testing for recommender systems
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107753openalex-snapshot
A systematic literature review on task recommendation systems for crowdsourced software engineering
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122756openalex-snapshot
Denoising precedes enrichment: aspect-sentiment-aware graph contrastive distillation network for review-based recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124129openalex-snapshot
A graph-based friend recommendation system in social networks using Q-Deep Learning Network
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103610openalex-snapshot
Predicting movies’ eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.105164openalex-snapshot
From scoring to workflow: A survey of agentic recommender systems
inferred← citeshttps://doi.org/10.1016/j.jii.2026.101128openalex-snapshot
TwinCompass: A multi-criteria and hybrid reasoning decision support framework for Digital Twin engineering in Cyber–Physical Systems
inferred← citeshttps://doi.org/10.1016/j.jretconser.2025.104487openalex-snapshot
A lifecycle-based household recommendation system: From product recycling to purchasing
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111552openalex-snapshot
UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114805openalex-snapshot
Fine-grained preference optimization with differentiated token weighting for LLM-based recommendations
inferred← citeshttps://doi.org/10.1016/j.procs.2026.03.021openalex-snapshot
A Blockchain-based Federated Learning Implementation Within a Recommendation System Landscape
inferred← citeshttps://doi.org/10.1016/j.techfore.2025.124151openalex-snapshot
A novel similarity-based recommendation for identifying potential customers in new markets using an inter-firm transaction network
inferred← citeshttps://doi.org/10.1017/chr.2026.10033openalex-snapshot
Computational and machine applications of a narrative theory-based symbolic ontology: Movie search and recommendation
inferred← citeshttps://doi.org/10.1051/itmconf/20257803019openalex-snapshot
Optimizing Coupon Recommendation Using Multi-Armed Bandit Algorithms
inferred← citeshttps://doi.org/10.1051/itmconf/20257804037openalex-snapshot
Enhancing Personalized Recommendation Systems: A Hybrid Etc-Ucb Bandit Algorithm Approach
inferred← citeshttps://doi.org/10.1080/0144929x.2026.2714166openalex-snapshot
Breaking the loop: a human-centred vision for information retrieval systems that serve all users
inferred← citeshttps://doi.org/10.1080/02604027.2024.2424734openalex-snapshot
Navigating the Paradox of Choice in the Digital Age: A Scoping Review on the Potential Role of Recommender Systems
inferred← citeshttps://doi.org/10.1080/10447318.2023.2267931openalex-snapshot
Coping with Homogeneous Information Flow in Recommender Systems: Algorithmic Resistance and Avoidance
inferred← citeshttps://doi.org/10.1080/10447318.2025.2610767openalex-snapshot
Algorithmic Kaleidoscope: The Floating Algorithmic Self and Self-Discrepancy of Recommendation System Users
inferred← citeshttps://doi.org/10.1080/10447318.2026.2669039openalex-snapshot
Frustrations with Access to Preferred Content: User Experiences with Bilibili’s Recommender Systems Reflected on Weibo
inferred← citeshttps://doi.org/10.1098/rsta.2025.0126openalex-snapshot
Online safety by design: towards user-centric development of safer AI-based systems
inferred← citeshttps://doi.org/10.1108/imds-03-2025-0302openalex-snapshot
Beyond trade-offs in competition: how market competition and reputation dynamically shape supply-side scale on tourism platforms
inferred← citeshttps://doi.org/10.1109/access.2023.3343522openalex-snapshot
Improving Cold Start Stereotype-Based Recommendation Using Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3381032openalex-snapshot
Personalized Career-Path Recommendation Model for Information Technology Students in Indonesia
inferred← citeshttps://doi.org/10.1109/access.2024.3491829openalex-snapshot
Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3532697openalex-snapshot
From Data to Decisions: The Power of Machine Learning in Business Recommendations
inferred← citeshttps://doi.org/10.1109/access.2025.3570636openalex-snapshot
A Variational Inference-Based LSTM-Enhanced Deep Neural Model for Sequential Recommendations
inferred← citeshttps://doi.org/10.1109/access.2025.3616855openalex-snapshot
Time-Evolving Fairness and Accuracy in Recommendation Systems: A Stereotype-Based Framework for Addressing Trade-Offs
inferred← citeshttps://doi.org/10.1109/besc59560.2023.10386553openalex-snapshot
Data-driven Analytics in Government Auditing: A First Look at Real-world Cases
inferred← citeshttps://doi.org/10.1109/conisoft66928.2025.00040openalex-snapshot
Software Testing in Recommender Systems: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1109/democon65705.2025.11282599openalex-snapshot
Enhancing User Experience in Digital Libraries: Evaluating Content-Based Recommender Systems for Academic Libraries
inferred← citeshttps://doi.org/10.1109/educon62633.2025.11016659openalex-snapshot
A User-Centric Evaluation of a Continuing Education Course Recommender System
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725016openalex-snapshot
Empirical Investigation on Similarity Measures used in Recommendation Systems
inferred← citeshttps://doi.org/10.1109/icdsg67714.2025.11381323openalex-snapshot
Enhancing Anime Recommender System Through Semantic Understanding with Sentence-BERT
inferred← citeshttps://doi.org/10.1109/icicyta68677.2025.11362626openalex-snapshot
A Content-Based Game Recommender System with TF-IDF Method
inferred← citeshttps://doi.org/10.1109/icitda64560.2024.10809808openalex-snapshot
Leveraging Hybrid Semantic Ontology-based Model for Library Book Recommendation System
inferred← citeshttps://doi.org/10.1109/icodsa67155.2025.11157015openalex-snapshot
Building an Online News Article Recommendation System Using Generative Recommendation
inferred← citeshttps://doi.org/10.1109/icsece65727.2025.11257059openalex-snapshot
Local Optimal Driven Dual-Path Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icsmile69273.2026.11519135openalex-snapshot
A Workbench to Study Movie Recommender Systems
inferred← citeshttps://doi.org/10.1109/icwr65219.2025.11006185openalex-snapshot
RSAttAE: An Information-Aware Attention-Based Autoencoder Recommender System
inferred← citeshttps://doi.org/10.1109/iit59782.2023.10366489openalex-snapshot
How are user movie ratings predicted using collaborative filtering?
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227903openalex-snapshot
NCMI: A Framework for Missing Modality Generation in Multi-modal Recommendation
inferred← citeshttps://doi.org/10.1109/indicon59947.2023.10440810openalex-snapshot
Integrating Transitivity in Collaborative Filtering-Based Recommender System
inferred← citeshttps://doi.org/10.1109/isgtasia54891.2023.10372761openalex-snapshot
Leveraging Digital Twins and Demand Side Recommender Chatbot for Optimizing Smart Grid Energy Efficiency
inferred← citeshttps://doi.org/10.1109/ispce-asia60405.2023.10365943openalex-snapshot
Improved Neural Collaborative Filtering Recommendation Method based on Multi-Head Attention and Feature Fusion
inferred← citeshttps://doi.org/10.1109/itikd63574.2025.11004800openalex-snapshot
Efficient Hashtag Recommender System For Digital Marketing
inferred← citeshttps://doi.org/10.1109/mapr72750.2026.11685804openalex-snapshot
SeRel-LightFM: Bridging Semantic and Relational Representations for Sparse Hybrid Recommendation
inferred← citeshttps://doi.org/10.1109/rivf60135.2023.10471861openalex-snapshot
A Recommendation Algorithm Based on User's Behaviours in Social Networks
inferred← citeshttps://doi.org/10.1109/ssitcon62437.2024.10796219openalex-snapshot
Application of Multimodal Data Fusion in Intelligent Content Recommendation System for New Media Platforms
inferred← citeshttps://doi.org/10.1109/tce.2023.3325224openalex-snapshot
Maintaining User Security in Consumer Electronics-Based Online Recommender Systems Using Federated Learning
inferred← citeshttps://doi.org/10.1109/tce.2024.3472090openalex-snapshot
AI-Empowered Consumer Behavior Modeling Framework for Music Recommendation Over Heterogeneous Electronics Products
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3309768openalex-snapshot
Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation
inferred← citeshttps://doi.org/10.1109/tifs.2025.3594145openalex-snapshot
LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferred← citeshttps://doi.org/10.1109/tkde.2024.3485880openalex-snapshot
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer
inferred← citeshttps://doi.org/10.1109/tkde.2025.3547968openalex-snapshot
Valid Coverage Oriented Item Perspective Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3606643openalex-snapshot
Personalized Recommendation Models in Federated Settings: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2026.3651336openalex-snapshot
Digital Intelligent World: From Data-Driven AI to Knowledge-Enabled Intelligent Agents
inferred← citeshttps://doi.org/10.1109/tkde.2026.3678755openalex-snapshot
ProitMTA: A Multi-Target Model Poisoning Attack Framework for Federated Recommendation Systems With Proxy Items
inferred← citeshttps://doi.org/10.1109/tmm.2025.3535378openalex-snapshot
Ensemble Prototype Networks for Unsupervised Cross-Modal Hashing With Cross-Task Consistency
inferred← citeshttps://doi.org/10.1109/tpami.2024.3366154openalex-snapshot
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
inferred← citeshttps://doi.org/10.1109/tpami.2024.3412687openalex-snapshot
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tpami.2026.3653806openalex-snapshot
Searching to Modulate for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2025.3604375openalex-snapshot
AttResRec: Learning User Credibility for Attack Resistant Matrix Factorization Recommendation
inferred← citeshttps://doi.org/10.1111/coin.70162openalex-snapshot
Unlocking the Potential of Context: A Contextual Neural Collaborative Filtering Framework for Rating Prediction
inferred← citeshttps://doi.org/10.1111/exsy.13462openalex-snapshot
SDbQfSum: Query‐focused summarization framework based on diversity and text semantic analysis
inferred← citeshttps://doi.org/10.1142/s0218126625500343openalex-snapshot
Session-based Recommendation Framework via Counterfactual Inference and Attention Network
inferred← citeshttps://doi.org/10.1145/3539618.3591623openalex-snapshot
A Critical Reexamination of Intra-List Distance and Dispersion
inferred← citeshttps://doi.org/10.1145/3539618.3591931openalex-snapshot
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint
inferred← citeshttps://doi.org/10.1145/3563359.3597408openalex-snapshot
How can we model climbers’ future visits from their past records?
inferred← citeshttps://doi.org/10.1145/3565472.3592960openalex-snapshot
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
inferred← citeshttps://doi.org/10.1145/3569930openalex-snapshot
A Critical Study on Data Leakage in Recommender System Offline Evaluation
inferred← citeshttps://doi.org/10.1145/3576840.3578274openalex-snapshot
FairRecKit: A Web-based Analysis Software for Recommender Evaluations
inferred← citeshttps://doi.org/10.1145/3589334.3645517openalex-snapshot
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
inferred← citeshttps://doi.org/10.1145/3591109openalex-snapshot
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms
inferred← citeshttps://doi.org/10.1145/3604915.3608748openalex-snapshot
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
inferred← citeshttps://doi.org/10.1145/3604915.3608768openalex-snapshot
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3608819openalex-snapshot
Analysis Operations for Constraint-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3604915.3608877openalex-snapshot
Improving Recommender Systems Through the Automation of Design Decisions
inferred← citeshttps://doi.org/10.1145/3604915.3609495openalex-snapshot
On Challenges of Evaluating Recommender Systems in an Offline Setting
inferred← citeshttps://doi.org/10.1145/3604915.3610640openalex-snapshot
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems
inferred← citeshttps://doi.org/10.1145/3609987.3610011openalex-snapshot
Looking at the FAccTs: Exploring Music Industry Professionals' Perspectives on Music Streaming Services and Recommendations
inferred← citeshttps://doi.org/10.1145/3626772.3657839openalex-snapshot
CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3626772.3657847openalex-snapshot
Course Recommender Systems Need to Consider the Job Market
inferred← citeshttps://doi.org/10.1145/3627100openalex-snapshot
Computational Technologies for Fashion Recommendation: A Survey
inferred← citeshttps://doi.org/10.1145/3629170openalex-snapshot
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
inferred← citeshttps://doi.org/10.1145/3630106.3658926openalex-snapshot
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3631358.3631362openalex-snapshot
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3636341.3636351openalex-snapshot
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education
inferred← citeshttps://doi.org/10.1145/3637528.3671687openalex-snapshot
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- n Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688017openalex-snapshot
How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire
inferred← citeshttps://doi.org/10.1145/3640457.3688065openalex-snapshot
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
inferred← citeshttps://doi.org/10.1145/3640457.3688068openalex-snapshot
Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data
inferred← citeshttps://doi.org/10.1145/3654806openalex-snapshot
UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3656481openalex-snapshot
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments
inferred← citeshttps://doi.org/10.1145/3671151.3671243openalex-snapshot
A Survey of Music Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3674127.3674133openalex-snapshot
Query-driven Search Functionality
inferred← citeshttps://doi.org/10.1145/3674127.3674137openalex-snapshot
Temporal Extraction and Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674139openalex-snapshot
Privacy in Information Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674140openalex-snapshot
eCommerce Search and Discovery
inferred← citeshttps://doi.org/10.1145/3674127.3674142openalex-snapshot
Searching Personal Collections
inferred← citeshttps://doi.org/10.1145/3675163openalex-snapshot
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?
inferred← citeshttps://doi.org/10.1145/3696410.3714896openalex-snapshot
Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3699952openalex-snapshot
Envisioning Recommendations on an LLM-Based Agent Platform
inferred← citeshttps://doi.org/10.1145/3701716.3717554openalex-snapshot
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement
inferred← citeshttps://doi.org/10.1145/3701764openalex-snapshot
Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search
inferred← citeshttps://doi.org/10.1145/3705328.3748009openalex-snapshot
Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec)
inferred← citeshttps://doi.org/10.1145/3705328.3748026openalex-snapshot
A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives
inferred← citeshttps://doi.org/10.1145/3705328.3748057openalex-snapshot
Off-Policy Evaluation of Candidate Generators in Two-Stage Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748086openalex-snapshot
On the Reliability of Sampling Strategies in Offline Recommender Evaluation
inferred← citeshttps://doi.org/10.1145/3705328.3748112openalex-snapshot
Cold Starting a New Content Type: A Case Study with Netflix Live
inferred← citeshttps://doi.org/10.1145/3705328.3748760openalex-snapshot
Adding Value to Low-Resource Industrial Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748761openalex-snapshot
Recommender Systems for Digital Humanities and Archives: Multistakeholder Evaluation, Scholarly Information Needs, and Multimodal Similarity
inferred← citeshttps://doi.org/10.1145/3705754.3705766openalex-snapshot
Bayesian Experts Recommendation in CQA: levereging aptitude, tag-based profiling, and social graph modeling
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