On the public citation graph

Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications

0 signed · 130 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-70552-9_21openalex-snapshot
Usability Engineering
inferredcites →https://doi.org/10.1007/978-3-642-17746-0_48openalex-snapshot
Signal/Collect: Graph Algorithms for the (Semantic) Web
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/10.1016/b978-0-08-052029-2.50009-7openalex-snapshot
Usability Testing
inferredcites →https://doi.org/10.1073/pnas.1000488107openalex-snapshot
Solving the apparent diversity-accuracy dilemma of recommender systems
inferredcites →https://doi.org/10.1080/15427951.2004.10129090openalex-snapshot
Link Evolution: Analysis and Algorithms
inferredcites →https://doi.org/10.1080/15427951.2005.10129104openalex-snapshot
Towards Scaling Fully Personalized PageRank: Algorithms, Lower Bounds, and Experiments
inferredcites →https://doi.org/10.1080/15427951.2006.10129116openalex-snapshot
Bookmark-Coloring Algorithm for Personalized PageRank Computing
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2011.15openalex-snapshot
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
inferredcites →https://doi.org/10.1109/wi.2005.9openalex-snapshot
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
inferredcites →https://doi.org/10.1137/040619028openalex-snapshot
Updating Markov Chains with an Eye on Google's PageRank
inferredcites →https://doi.org/10.1137/1.9781611972757.2openalex-snapshot
A random walks perspective on maximizing satisfaction and profit
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1125451.1125659openalex-snapshot
Being accurate is not enough
inferredcites →https://doi.org/10.1145/1250910.1250939openalex-snapshot
Recommender systems and their impact on sales diversity
inferredcites →https://doi.org/10.1145/1367497.1367618openalex-snapshot
Video suggestion and discovery for youtube
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
inferredcites →https://doi.org/10.1145/1390156.1390269openalex-snapshot
Fast incremental proximity search in large graphs
inferredcites →https://doi.org/10.1145/1390334.1390465openalex-snapshot
A topical PageRank based algorithm for recommender systems
inferredcites →https://doi.org/10.1145/1557019.1557067openalex-snapshot
TrustWalker
inferredcites →https://doi.org/10.1145/1645953.1646025openalex-snapshot
P-Rank
inferredcites →https://doi.org/10.1145/1807167.1807184openalex-snapshot
Pregel
inferredcites →https://doi.org/10.1145/1835804.1835896openalex-snapshot
Temporal recommendation on graphs via long- and short-term preference fusion
inferredcites →https://doi.org/10.1145/192844.192905openalex-snapshot
GroupLens
inferredcites →https://doi.org/10.1145/2043932.2043955openalex-snapshot
Rank and relevance in novelty and diversity metrics for recommender systems
inferredcites →https://doi.org/10.1145/2043932.2043989openalex-snapshot
MyMediaLite
inferredcites →https://doi.org/10.1145/2124295.2124300openalex-snapshot
Auralist
inferredcites →https://doi.org/10.1145/2396761.2398488openalex-snapshot
PathRank
inferredcites →https://doi.org/10.1145/2488388.2488433openalex-snapshot
WTF
inferredcites →https://doi.org/10.1145/2567948.2579244openalex-snapshot
Random walks in recommender systems
inferredcites →https://doi.org/10.1145/2783258.2783297openalex-snapshot
Efficient PageRank Tracking in Evolving Networks
inferredcites →https://doi.org/10.1145/2792838.2800180openalex-snapshot
Blockbusters and Wallflowers
inferredcites →https://doi.org/10.1145/312129.312230openalex-snapshot
Horting hatches an egg
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
inferredcites →https://doi.org/10.1145/3130348.3130372openalex-snapshot
An Algorithmic Framework for Performing Collaborative Filtering
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/511446.511513openalex-snapshot
Topic-sensitive PageRank
inferredcites →https://doi.org/10.1145/775047.775126openalex-snapshot
SimRank
inferredcites →https://doi.org/10.1145/775152.775191openalex-snapshot
Scaling personalized web search
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1145/963770.963775openalex-snapshot
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
inferredcites →https://doi.org/10.1287/mnsc.1080.0974openalex-snapshot
Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity
inferredcites →https://doi.org/10.14778/1929861.1929864openalex-snapshot
Fast incremental and personalized PageRank
inferredcites →https://doi.org/10.14778/2311906.2311916openalex-snapshot
Challenging the long tail recommendation
inferredcites →https://doi.org/10.3139/9783446431164openalex-snapshot
FILTER BUBBLE
inferredcites →https://doi.org/10.3233/sw-150176openalex-snapshot
Signal/Collect12
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-92273-3_27openalex-snapshot
An Efficient Manifold Density Estimator for All Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-28244-7_3openalex-snapshot
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-88717-8_14openalex-snapshot
Improving Novelty and Diversity of Nearest-Neighbors Recommendation by Exploiting Dissimilarities
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_9openalex-snapshot
A Reproducible and Fair Evaluation of Partition-Aware Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-981-19-2719-5_68openalex-snapshot
The State of the Art Techniques in Recommendation Systems
inferred← citeshttps://doi.org/10.1007/s11257-019-09221-yopenalex-snapshot
Movie genome: alleviating new item cold start in movie recommendation
inferred← citeshttps://doi.org/10.1007/s11257-021-09303-wopenalex-snapshot
NFC: a deep and hybrid item-based model for item cold-start recommendation
inferred← citeshttps://doi.org/10.1007/s11257-021-09315-6openalex-snapshot
Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback
inferred← citeshttps://doi.org/10.1007/s11432-020-3274-6openalex-snapshot
LECF: recommendation via learnable edge collaborative filtering
inferred← citeshttps://doi.org/10.1007/s13042-021-01409-2openalex-snapshot
Implicit social recommendation algorithm based on multilayer fuzzy perception similarity
inferred← citeshttps://doi.org/10.1007/s13278-026-01618-zopenalex-snapshot
GRAFT-Rec: a hybrid multi-signal framework with gradient-boosted meta-ranking for collaborative filtering
inferred← citeshttps://doi.org/10.1007/s40593-021-00271-1openalex-snapshot
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations
inferred← citeshttps://doi.org/10.1007/s41060-022-00367-4openalex-snapshot
A probabilistic perspective on nearest neighbor for implicit recommendation
inferred← citeshttps://doi.org/10.1016/j.bdr.2021.100211openalex-snapshot
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures
inferred← citeshttps://doi.org/10.1016/j.dss.2020.113420openalex-snapshot
Perceived usefulness: A silver bullet to assure user data availability for online recommendation systems
inferred← citeshttps://doi.org/10.1080/21670811.2021.2021804openalex-snapshot
Benefits of Diverse News Recommendations for Democracy: A User Study
inferred← citeshttps://doi.org/10.1109/access.2022.3194536openalex-snapshot
Recommendation Systems: An Insight Into Current Development and Future Research Challenges
inferred← citeshttps://doi.org/10.1109/access.2023.3249356openalex-snapshot
Comparison of Real-Time and Batch Job Recommendations
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006199openalex-snapshot
Mix and Rank: A Framework for Benchmarking Recommender Systems
inferred← citeshttps://doi.org/10.1109/ccwc.2018.8301706openalex-snapshot
Efficient parallelization for big data collaborative recommendation decisions
inferred← citeshttps://doi.org/10.1109/icaiss55157.2022.10011130openalex-snapshot
Enhancing Diversity in Recommendation Systems using Likelihood-based Item Recommendation
inferred← citeshttps://doi.org/10.1145/3109859.3109916openalex-snapshot
Fewer Flops at the Top
inferred← citeshttps://doi.org/10.1145/3184558.3186949openalex-snapshot
User Fairness in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3298689.3347058openalex-snapshot
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
inferred← citeshttps://doi.org/10.1145/3340531.3411901openalex-snapshot
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3340531.3412774openalex-snapshot
ContentWise Impressions
inferred← citeshttps://doi.org/10.1145/3356882openalex-snapshot
Graph-based Recommendation Meets Bayes and Similarity Measures
inferred← citeshttps://doi.org/10.1145/3434185openalex-snapshot
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
inferred← citeshttps://doi.org/10.1145/3442381.3449869openalex-snapshot
Sinkhorn Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3442381.3449970openalex-snapshot
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
inferred← citeshttps://doi.org/10.1145/3450614.3461680openalex-snapshot
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
inferred← citeshttps://doi.org/10.1145/3452918.3465493openalex-snapshot
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
inferred← citeshttps://doi.org/10.1145/3460231.3475944openalex-snapshot
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization
inferred← citeshttps://doi.org/10.1145/3460231.3478853openalex-snapshot
Optimizing the Selection of Recommendation Carousels with Quantum Computing
inferred← citeshttps://doi.org/10.1145/3460231.3478862openalex-snapshot
Eigenvalue Perturbation for Item-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3477314.3507158openalex-snapshot
On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms
inferred← citeshttps://doi.org/10.1145/3503252.3531292openalex-snapshot
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
inferred← citeshttps://doi.org/10.1145/3523227.3551482openalex-snapshot
Scalable Linear Shallow Autoencoder for Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3523227.3551483openalex-snapshot
Towards the Evaluation of Recommender Systems with Impressions
inferred← citeshttps://doi.org/10.1145/3539618.3591704openalex-snapshot
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591785openalex-snapshot
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
inferred← citeshttps://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferred← citeshttps://doi.org/10.1145/3556702.3556845openalex-snapshot
United We Stand, Divided We Fall: Leveraging Ensembles of Recommenders to Compete with Budget Constrained Resources
inferred← citeshttps://doi.org/10.1145/3589334.3645403openalex-snapshot
Uplift Modeling for Target User Attacks on Recommender Systems
inferred← citeshttps://doi.org/10.1145/3604915.3608759openalex-snapshot
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
inferred← citeshttps://doi.org/10.1145/3604915.3608820openalex-snapshot
Bootstrapped Personalized Popularity for Cold Start Recommender Systems
inferred← citeshttps://doi.org/10.1145/3604915.3608867openalex-snapshot
Personalised Recommendations for the BBC iPlayer: Initial approach and current challenges
inferred← citeshttps://doi.org/10.1145/3604915.3609489openalex-snapshot
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
inferred← citeshttps://doi.org/10.1145/3604915.3610649openalex-snapshot
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy
inferred← citeshttps://doi.org/10.1145/3637528.3671840openalex-snapshot
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3640457.3688070openalex-snapshot
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
inferred← citeshttps://doi.org/10.1145/3687151.3687155openalex-snapshot
Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge
inferred← citeshttps://doi.org/10.1145/3705328.3748016openalex-snapshot
D-RDW: Diversity-Driven Random Walks for News Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748148openalex-snapshot
Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations
inferred← citeshttps://doi.org/10.1145/3705328.3748151openalex-snapshot
Context Trails: A Dataset to Study Contextual and Route Recommendation
inferred← citeshttps://doi.org/10.1145/3705328.3748160openalex-snapshot
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
inferred← citeshttps://doi.org/10.1145/3708319.3733680openalex-snapshot
Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations
inferred← citeshttps://doi.org/10.1145/3726302.3730116openalex-snapshot
Why is Normalization Necessary for Linear Recommenders?
inferred← citeshttps://doi.org/10.1145/3726302.3730199openalex-snapshot
From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations
inferred← citeshttps://doi.org/10.1145/3731120.3744607openalex-snapshot
Generalized Personalized PageRank with Graph Convolutional Networks in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3772275openalex-snapshot
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
inferred← citeshttps://doi.org/10.1145/3773966.3779398openalex-snapshot
Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3795792openalex-snapshot
Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch
inferred← citeshttps://doi.org/10.1145/3805712.3808563openalex-snapshot
Mind the Metric: Reproducibility and Fair Benchmarking of Spectral Graph Models for Collaborative Filtering
inferred← citeshttps://doi.org/10.1155/2018/8056195openalex-snapshot
CEPTM: A Cross‐Edge Model for Diverse Personalization Service and Topic Migration in MEC
inferred← citeshttps://doi.org/10.1287/ijoc.2019.0952openalex-snapshot
Integrating Individual and Aggregate Diversity in Top-N Recommendation
inferred← citeshttps://doi.org/10.15439/2022f191openalex-snapshot
Learning edge importance in bipartite graph-based recommendations
inferred← citeshttps://doi.org/10.1609/aaai.v35i18.17886openalex-snapshot
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
inferred← citeshttps://doi.org/10.24963/ijcai.2020/650openalex-snapshot
Methodological Issues in Recommender Systems Research (Extended Abstract)
inferred← citeshttps://doi.org/10.25046/aj020415openalex-snapshot
Efficient Tensor Strategy for Recommendation
inferred← citeshttps://doi.org/10.3389/fdata.2022.910030openalex-snapshot
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels
inferred← citeshttps://doi.org/10.3390/e23080970openalex-snapshot
Feature Selection for Recommender Systems with Quantum Computing
inferred← citeshttps://doi.org/10.3390/electronics13153049openalex-snapshot
Job Recommendations: Benchmarking of Collaborative Filtering Methods for Classifieds
inferred← citeshttps://doi.org/10.3390/math12162497openalex-snapshot
Diverse but Relevant Recommendations with Continuous Ant Colony Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.1808.10664openalex-snapshot
A novel graph-based model for hybrid recommendations in cold-start scenarios
inferred← citeshttps://doi.org/10.48550/arxiv.1909.01495openalex-snapshot
Cross-Cutting Political Awareness through Diverse News Recommendations
inferred← citeshttps://doi.org/10.48550/arxiv.2006.16309openalex-snapshot
Adversarial Learning for Debiasing Knowledge Graph Embeddings
inferred← citeshttps://doi.org/10.48550/arxiv.2008.01212openalex-snapshot
ContentWise Impressions: An Industrial Dataset with Impressions Included
inferred← citeshttps://doi.org/10.48550/arxiv.2009.12969openalex-snapshot
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach
inferred← citeshttps://doi.org/10.70675/917ca54az02fez4361zaf07z278af17fa874openalex-snapshot
Managing uncertainty through trust in resource sharing systems
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.