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Recommendations with a Purpose

https://doi.org/10.1145/2959100.2959186
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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/10.1145/1639714.1639749openalex-snapshot
A case study on the effectiveness of recommendations in the mobile internet
inferredcites →https://doi.org/10.1145/2645710.2645745openalex-snapshot
Offline and online evaluation of news recommender systems at swissinfo.ch
inferredcites →https://doi.org/10.1145/2843948openalex-snapshot
The Netflix Recommender System
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3349290openalex-extracted
Hybrid Recommender System Using A-priori Algorithm
inferred← citeshttps://doi.org/10.2139/ssrn.3493202openalex-extracted
Ethical Aspects of Multi-stakeholder Recommendation Systems
inferred← citeshttps://doi.org/10.1002/asi.24552openalex-snapshot
Serendipity in the city: User evaluations of urban recommender systems
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_14openalex-snapshot
Value and Impact of Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_17openalex-snapshot
Multistakeholder Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_21openalex-snapshot
Individual and Group Decision Making and Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_110162-2openalex-snapshot
Recommender Systems Evaluation
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_116-1openalex-snapshot
Recommender Systems, Semantic-Based
inferred← citeshttps://doi.org/10.1007/978-1-4939-7131-2_116openalex-snapshot
Recommender Systems, Semantic-Based
inferred← citeshttps://doi.org/10.1007/978-3-030-00111-7_1openalex-snapshot
Keynote: Session-Based Recommendation – Challenges and Recent Advances
inferred← citeshttps://doi.org/10.1007/978-3-030-29145-7_1openalex-snapshot
Introduction to the 2019 Yearbook of the Digital Ethics Lab
inferred← citeshttps://doi.org/10.1007/978-3-030-34146-6_22openalex-snapshot
Representing the Filter Bubble: Towards a Model to Diversification in News
inferred← citeshttps://doi.org/10.1007/978-3-031-34804-4openalex-snapshot
Recommender Systems: Legal and Ethical Issues
inferred← citeshttps://doi.org/10.1007/978-3-031-34804-4_3openalex-snapshot
From Algorithmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation
inferred← citeshttps://doi.org/10.1007/978-3-031-34804-4_7openalex-snapshot
Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy
inferred← citeshttps://doi.org/10.1007/978-3-031-45438-7_12openalex-snapshot
Profit vs Accuracy: Balancing the Impact on Users Introduced by Profit-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-55109-3_2openalex-snapshot
The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms
inferred← citeshttps://doi.org/10.1007/978-3-031-71975-2_1openalex-snapshot
An Offer You Cannot Refuse? Trends in the Coercive Impact of Amazon Book Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-319-69179-4_7openalex-snapshot
Fair Recommendations Through Diversity Promotion
inferred← citeshttps://doi.org/10.1007/s00146-020-00950-yopenalex-snapshot
Recommender Systems and their Ethical Challenges
inferred← citeshttps://doi.org/10.1007/s00607-017-0572-7openalex-snapshot
A systematic mapping on adaptive recommender approaches for ubiquitous environments
inferred← citeshttps://doi.org/10.1007/s00607-021-00903-3openalex-snapshot
AwARE: a framework for adaptive recommendation of educational resources
inferred← citeshttps://doi.org/10.1007/s10462-022-10229-xopenalex-snapshot
Evaluating conversational recommender systems
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/s10669-021-09839-7openalex-snapshot
Bridging theory and practice in ecosystem services mapping: a systematic review
inferred← citeshttps://doi.org/10.1007/s10796-020-10071-yopenalex-snapshot
Something’s Missing? A Procedure for Extending Item Content Data Sets in the Context of Recommender Systems
inferred← citeshttps://doi.org/10.1007/s10844-018-0526-3openalex-snapshot
Exploiting recommendation confidence in decision-aware recommender systems
inferred← citeshttps://doi.org/10.1007/s11257-017-9194-1openalex-snapshot
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts
inferred← citeshttps://doi.org/10.1007/s11257-017-9195-0openalex-snapshot
A systematic review and taxonomy of explanations in decision support and recommender systems
inferred← citeshttps://doi.org/10.1007/s11257-018-9209-6openalex-snapshot
Evaluation of session-based recommendation algorithms
inferred← citeshttps://doi.org/10.1007/s11257-018-9214-9openalex-snapshot
A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews
inferred← citeshttps://doi.org/10.1007/s11257-019-09231-wopenalex-snapshot
Trends in content-based recommendation
inferred← citeshttps://doi.org/10.1007/s11257-019-09245-4openalex-snapshot
Learning to recommend similar items from human judgments
inferred← citeshttps://doi.org/10.1007/s11257-019-09256-1openalex-snapshot
Multistakeholder recommendation: Survey and research directions
inferred← citeshttps://doi.org/10.1007/s11257-023-09378-7openalex-snapshot
Digitally nudging users to explore off-profile recommendations: here be dragons
inferred← citeshttps://doi.org/10.1007/s11257-024-09412-2openalex-snapshot
Examining the merits of feature-specific similarity functions in the news domain using human judgments
inferred← citeshttps://doi.org/10.1007/s41111-025-00326-xopenalex-snapshot
An Agent‑Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
inferred← citeshttps://doi.org/10.1007/s42413-020-00086-3openalex-snapshot
Aligning AI Optimization to Community Well-Being
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.03.055openalex-snapshot
Efficient optimization of multiple recommendation quality factors according to individual user tendencies
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123642openalex-snapshot
Model-based approaches to profit-aware recommendation
inferred← citeshttps://doi.org/10.1016/j.future.2020.05.041openalex-snapshot
REHAB-C: Recommendations for Energy HABits Change
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2018.05.001openalex-snapshot
Engineering issues related to the development of a recommender system in a critical context: Application to interactive cockpits
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2019.06.006openalex-snapshot
Measuring the impact of online personalisation: Past, present and future
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.im.2019.01.005openalex-snapshot
Recommendation strategies in personalization applications
inferred← citeshttps://doi.org/10.1016/j.ipm.2018.04.008openalex-snapshot
News recommender systems – Survey and roads ahead
inferred← citeshttps://doi.org/10.1016/j.isci.2021.102249openalex-snapshot
Ethical machines: The human-centric use of artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.jocs.2018.04.009openalex-snapshot
Assigning reliability values to recommendations using matrix factorization
inferred← citeshttps://doi.org/10.1016/j.physa.2019.122073openalex-snapshot
Alleviating the recommendation bias via rank aggregation
inferred← citeshttps://doi.org/10.1057/s41272-019-00227-0openalex-snapshot
Random Utility Models with Cardinality Context Effects for Online Subscription Service Platforms
inferred← citeshttps://doi.org/10.1080/01972243.2020.1832636openalex-snapshot
Ethical aspects of multi-stakeholder recommendation systems
inferred← citeshttps://doi.org/10.1080/07421222.2022.2127440openalex-snapshot
Managing Digital Platforms with Robust Multi-Sided Recommender Systems
inferred← citeshttps://doi.org/10.1080/07421222.2025.2561382openalex-snapshot
Social Identity Theory and Algorithmic Bias: Ingroup and Outgroup Acrophily in Recommender Systems
inferred← citeshttps://doi.org/10.1080/10447318.2026.2618547openalex-snapshot
Selection or Rejection? The Role of Agent Type and Information Presentation in AI-Driven Recommendations for Older Consumers
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/10.1080/21670811.2021.2024079openalex-snapshot
We’re in This Together: A Multi-Stakeholder Approach for News Recommenders
inferred← citeshttps://doi.org/10.1109/access.2020.2967120openalex-snapshot
Linked Open Data in Location-Based Recommendation System on Tourism Domain: A Survey
inferred← citeshttps://doi.org/10.1109/access.2022.3159652openalex-snapshot
Measuring the Success of Recommender Systems: A PLS-SEM Approach
inferred← citeshttps://doi.org/10.1109/access.2025.3588663openalex-snapshot
Integrating Digital Food Nudges and Recommender Systems: Current Status and Future Directions
inferred← citeshttps://doi.org/10.1109/aiiot61789.2024.10579009openalex-snapshot
Product Recommendation System Using Large Language Model: Llama-2
inferred← citeshttps://doi.org/10.1109/bigcomp.2018.00022openalex-snapshot
A Decision Making Method Based on TOPSIS and Considering the Social Relationship
inferred← citeshttps://doi.org/10.1109/icac3n56670.2022.10074332openalex-snapshot
Content Based Recommender System: Methodologies, Performance, Evaluation and Application
inferred← citeshttps://doi.org/10.1109/icebe59045.2023.00019openalex-snapshot
A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation
inferred← citeshttps://doi.org/10.1109/icict64420.2025.11004664openalex-snapshot
Enhancing Music Recommendations Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485505openalex-snapshot
AI Chat Application for Online Product Analysis: A BERT based Explainable Recommendation Chat Application
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter69777.2025.00011openalex-snapshot
Course Recommendation Using Fine-Tuned SBERT with LoRA
inferred← citeshttps://doi.org/10.1109/smarttechcon57526.2023.10391324openalex-snapshot
Review the Amazon Products Using Data Science Tools to Enhance Online Feedback and Services
inferred← citeshttps://doi.org/10.1109/thms.2021.3131674openalex-snapshot
Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots
inferred← citeshttps://doi.org/10.1109/wi-iat55865.2022.00126openalex-snapshot
Recommender System for Government Service in Smart Cities
inferred← citeshttps://doi.org/10.1111/exsy.12991openalex-snapshot
A user study with aspect‐based sentiment analysis for similarity of items in content‐based recommendations
inferred← citeshttps://doi.org/10.1145/3001837openalex-snapshot
Interacting with Recommenders—Overview and Research Directions
inferred← citeshttps://doi.org/10.1145/3019612.3019756openalex-snapshot
Leveraging multi-dimensional user models for personalized next-track music recommendation
inferred← citeshttps://doi.org/10.1145/3019612.3019758openalex-snapshot
Offline performance vs. subjective quality experience
inferred← citeshttps://doi.org/10.1145/3030024.3030027openalex-snapshot
Interacting with Recommender Systems
inferred← citeshttps://doi.org/10.1145/3079628.3079657openalex-snapshot
Recommender Systems as Multistakeholder Environments
inferred← citeshttps://doi.org/10.1145/3109859.3109866openalex-snapshot
The Exploration-Exploitation Trade-off in Interactive Recommender Systems
inferred← citeshttps://doi.org/10.1145/3109859.3109875openalex-snapshot
Surveying User Reactions to Recommendations Based on Inferences Made by Face Detection Technology
inferred← citeshttps://doi.org/10.1145/3109859.3109915openalex-snapshot
User Preferences for Hybrid Explanations
inferred← citeshttps://doi.org/10.1145/3124791.3124795openalex-snapshot
A Light-Weight Approach to Recipient Determination When Recommending New Items
inferred← citeshttps://doi.org/10.1145/3127325.3177871openalex-snapshot
Recommender systems for citizens
inferred← citeshttps://doi.org/10.1145/3190616openalex-snapshot
Sequence-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3209219.3209252openalex-snapshot
Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations
inferred← citeshttps://doi.org/10.1145/3209219.3209270openalex-snapshot
Sequence-aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3240323.3241621openalex-snapshot
Sequence-aware recommendation
inferred← citeshttps://doi.org/10.1145/3298689.3346950openalex-snapshot
User's activity driven short-term context inference
inferred← citeshttps://doi.org/10.1145/3298689.3347049openalex-snapshot
Attribute-based evaluation for recommender systems
inferred← citeshttps://doi.org/10.1145/3298689.3347060openalex-snapshot
First workshop on the impact of recommender systems at ACM RecSys 2019
inferred← citeshttps://doi.org/10.1145/3340631.3394869openalex-snapshot
NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems
inferred← citeshttps://doi.org/10.1145/3340764.3344893openalex-snapshot
Map-based Visualization of Item Spaces for Increasing Transparency and Control in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3359555.3359561openalex-snapshot
Learning to rank hotels for search and recommendation from session-based interaction logs and meta data
inferred← citeshttps://doi.org/10.1145/3370082openalex-snapshot
Measuring the Business Value of Recommender Systems
inferred← citeshttps://doi.org/10.1145/3372923.3404781openalex-snapshot
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce
inferred← citeshttps://doi.org/10.1145/3383313.3411471openalex-snapshot
Second Workshop on the Impact of Recommender Systems at ACM RecSys ’20
inferred← citeshttps://doi.org/10.1145/3397481.3450700openalex-snapshot
Interactive Music Genre Exploration with Visualization and Mood Control
inferred← citeshttps://doi.org/10.1145/3428658.3431093openalex-snapshot
WordRecommender
inferred← citeshttps://doi.org/10.1145/3450613.3457122openalex-snapshot
Multi-Method Evaluation of Adaptive Systems
inferred← citeshttps://doi.org/10.1145/3450614.3461681openalex-snapshot
Target-aware Aggregate Diversification in Recommendation
inferred← citeshttps://doi.org/10.1145/3459637.3481934openalex-snapshot
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts
inferred← citeshttps://doi.org/10.1145/3460231.3470929openalex-snapshot
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
inferred← citeshttps://doi.org/10.1145/3490099.3511156openalex-snapshot
TastePaths: Enabling Deeper Exploration and Understanding of Personal Preferences in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3511047.3538028openalex-snapshot
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
inferred← citeshttps://doi.org/10.1145/3523227.3547408openalex-snapshot
Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
inferred← citeshttps://doi.org/10.1145/3523227.3547426openalex-snapshot
Heterogeneous Graph Representation Learning for multi-target Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferred← citeshttps://doi.org/10.1145/3581641.3584032openalex-snapshot
Enabling Goal-Focused Exploration of Podcasts in Interactive 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/10.1145/3632297openalex-snapshot
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
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/10.1145/3640457.3688183openalex-snapshot
It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics
inferred← citeshttps://doi.org/10.1145/3641002openalex-snapshot
Embedding Democratic Values into Social Media AIs via Societal Objective Functions
inferred← citeshttps://doi.org/10.1145/3674127openalex-snapshot
Information Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674128openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1145/3674127.3674129openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1145/3674127.3674130openalex-snapshot
Neural Information Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674131openalex-snapshot
Recommender Systems
inferred← citeshttps://doi.org/10.1145/3674127.3674132openalex-snapshot
Evaluation of IR Systems
inferred← citeshttps://doi.org/10.1145/3674127.3674133openalex-snapshot
Query-driven Search Functionality
inferred← citeshttps://doi.org/10.1145/3674127.3674134openalex-snapshot
Knowledge Graphs and Search
inferred← citeshttps://doi.org/10.1145/3674127.3674135openalex-snapshot
Conversational Search
inferred← citeshttps://doi.org/10.1145/3674127.3674136openalex-snapshot
Cross-language Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674137openalex-snapshot
Temporal Extraction and Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674138openalex-snapshot
Bias in Retrieval Systems
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/10.1145/3674127.3674141openalex-snapshot
Professional Search
inferred← citeshttps://doi.org/10.1145/3674127.3674142openalex-snapshot
Searching Personal Collections
inferred← citeshttps://doi.org/10.1145/3674127.3702959openalex-snapshot
Audio-based Music Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3702960openalex-snapshot
IR in Biomedicine
inferred← citeshttps://doi.org/10.1145/3674127.3702961openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1145/3674127.3702962openalex-snapshot
Authors’ Biography/Index
inferred← citeshttps://doi.org/10.1145/3700890openalex-snapshot
A Survey on Intent-aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3701716.3716887openalex-snapshot
Robust Defense Mechanisms for Agentic News Recommenders: Mitigating Data Poisoning Attacks
inferred← citeshttps://doi.org/10.1145/3773078.3831841openalex-snapshot
Beyond Passive Preference Inference: User-Governed Preference Memory and Calibrated Initiative in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3774905.3795728openalex-snapshot
LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3778173openalex-snapshot
Welcome to the Metrics Jungle: Organizational Stakeholder Perspectives on Evaluation of News Recommender Systems in Industry
inferred← citeshttps://doi.org/10.1145/3779420openalex-snapshot
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3805689.3806531openalex-snapshot
Like It or Not — Recommender Systems Lack a Coherent Normative Foundation
inferred← citeshttps://doi.org/10.1145/3827915openalex-snapshot
Recommender Systems in Industry: Applications, Challenges, and the Academia-Industry Gap
inferred← citeshttps://doi.org/10.1287/isre.2018.0800openalex-snapshot
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment
inferred← citeshttps://doi.org/10.13025/pqjz-f728openalex-snapshot
Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems
inferred← citeshttps://doi.org/10.13140/rg.2.2.33885.10729openalex-snapshot
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal]
inferred← citeshttps://doi.org/10.1609/aimag.v41i4.5312openalex-snapshot
Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research
inferred← citeshttps://doi.org/10.1609/aimag.v42i3.18145openalex-snapshot
Progress in recommender systems research: Crisis? What crisis?
inferred← citeshttps://doi.org/10.17657/jcr.2026.4.30.4openalex-snapshot
The Impact of Shopping Cart Structure and Conversion Behavior on Consumer Value*
inferred← citeshttps://doi.org/10.20525/ijrbs.v12i7.2678openalex-snapshot
The human capital and human capability models: Showing the connection between graduation and employment
inferred← citeshttps://doi.org/10.20868/upm.thesis.54719openalex-snapshot
Towards reliability in collaborative filtering recommender systems
inferred← citeshttps://doi.org/10.20868/upm.thesis.58148openalex-snapshot
Recomendación a grupos de usuarios usando el concepto de singularidades
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5353669/v1openalex-snapshot
Impulse Buying in the Age of Algorithms: A Systematic Literature Review of Psychological Triggers Leading to Buyer's Remorse
inferred← citeshttps://doi.org/10.2139/ssrn.5029845openalex-snapshot
Ethical Dimensions and Decision-Making Dynamics: A Meta-Synthesis of Ai Nudging Across Sectors
inferred← citeshttps://doi.org/10.21605/cukurovaumfd.1748924openalex-snapshot
Kullanıcı Eğilimlerinin Göreceli Modellenmesinin Popülerlik Yanlılığına Etkisi
inferred← citeshttps://doi.org/10.2174/9789815136746123010008openalex-snapshot
Developing a Content-based Recommender System for Author Specialization using Topic Modelling and Ranking Framework
inferred← citeshttps://doi.org/10.2196/64081openalex-snapshot
Effects of Large Language Model–Based Offerings on the Well-Being of Students: Qualitative Study
inferred← citeshttps://doi.org/10.22463/0122820x.2806openalex-snapshot
Sistema de recomendación de programas universitarios para estudiantes de educación media basado en Deep Learning
inferred← citeshttps://doi.org/10.24251/hicss.2021.093openalex-snapshot
The Pursuit of Transparency and Control: A Classification of Ad Explanations in Social Media
inferred← citeshttps://doi.org/10.3389/fdata.2023.1157899openalex-snapshot
A survey on multi-objective recommender systems
inferred← citeshttps://doi.org/10.3390/analytics2020020openalex-snapshot
The AI Learns to Lie to Please You: Preventing Biased Feedback Loops in Machine-Assisted Intelligence Analysis
inferred← citeshttps://doi.org/10.3390/jtaer20040290openalex-snapshot
Exploring the Mechanism of AI-Powered Personalized Product Recommendation on Generation Z Users’ Spontaneous Buying Intention on Short-Form Video Platforms: A Perceived Evaluation Perspective
inferred← citeshttps://doi.org/10.3390/su13074053openalex-snapshot
Unintended CSR Violation Caused by Online Recommendation
inferred← citeshttps://doi.org/10.38204/tematik.v8i1.567openalex-snapshot
Sistem Rekomendasi Hibrid Menggunakan Algoritma Apriori Mining Asosiasi
inferred← citeshttps://doi.org/10.4018/979-8-3373-2170-7.ch015openalex-snapshot
Opportunities and Challenges of Artificial Intelligence in Audience Analysis for Curriculum Design of Ethical and Religious Courses in Universities
inferred← citeshttps://doi.org/10.4018/979-8-3373-8424-5.ch007openalex-snapshot
AI-Mediated Intercultural Sensitivity Through Films and Series
inferred← citeshttps://doi.org/10.4108/eai.5-2-2018.156379openalex-snapshot
Considering Durations and Replays to Improve Music Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1707.08029openalex-snapshot
Price and Profit Awareness in Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1802.08452openalex-snapshot
Sequence-Aware Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1809.03291openalex-snapshot
Action-conditional Sequence Modeling for Recommendation
inferred← citeshttps://doi.org/10.48550/arxiv.1905.01986openalex-snapshot
Beyond Personalization: Research Directions in Multistakeholder Recommendation
inferred← citeshttps://doi.org/10.48550/arxiv.1908.00071openalex-snapshot
Session-Based Hotel Recommendations: Challenges and Future Directions
inferred← citeshttps://doi.org/10.48550/arxiv.1909.04496openalex-snapshot
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach
inferred← citeshttps://doi.org/10.48550/arxiv.2107.08959openalex-snapshot
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2107.14333openalex-snapshot
Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2108.11068openalex-snapshot
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
inferred← citeshttps://doi.org/10.54741/mjar/6.3.2026.319openalex-snapshot
AI-Driven Hyper-Personalisation and Consumer Usage Behaviour in Food Delivery Applications
inferred← citeshttps://doi.org/10.58830/ozgur.pub610.c2593openalex-snapshot
Dijital Pazarlamada Etik
inferred← citeshttps://doi.org/10.58830/ozgur.pub610.c2595openalex-snapshot
Dijital Pazarlamada Yenilikçi Teknoloji ve Trendler
inferred← citeshttps://doi.org/10.64534/commer.2025.662openalex-snapshot
The Impact of Netflix’s AI Powered Recommendation System on Consumers’ Behavioral Intentions
inferred← citeshttps://doi.org/10.70675/2abf9dffz9739z4248zb127z8b07979870d6openalex-snapshot
Qualité et réutilisabilité des données dans la conception de services innovants
inferred← citeshttps://doi.org/10.70675/7efd8362zfab7z48ebza209z41534810f286openalex-snapshot
Système de recommandation équitable d'oeuvres numériques. En quête de diversité
inferred← citeshttps://doi.org/10.70675/949af255zc6b8z4aadz9cabz36c779c66b3aopenalex-snapshot
Création et exploitation de métadonnées pour la recommandation de contenu vidéo
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