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Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Generating Predictive Movie Recommendations from Trust in Social Networks
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Trust-Aware Collaborative Filtering for Recommender Systems
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Propagation Models for Trust and Distrust in Social Networks
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Bayesian Probabilistic Matrix Factorization with Social Relations and Item Contents for recommendation
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Effective page recommendation algorithms based on distributed learning automata and weighted association rules
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Collaborative filtering using orthogonal nonnegative matrix tri-factorization
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Recommender systems survey
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Matrix Factorization Techniques for Recommender Systems
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Trust- and Distrust-Based Recommendations for Controversial Reviews
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Predicting Trust and Distrust in Social Networks
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Classifying Trust/Distrust Relationships in Online Social Networks
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Quantifying Social Influence in Epinions
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Efficient and Correct Trust Propagation Using CloseLook
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Learning from Incomplete Ratings Using Non-negative Matrix Factorization
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Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
inferredcites →https://doi.org/10.1145/1066677.1067036openalex-snapshot
A trust-enhanced recommender system application
inferredcites →https://doi.org/10.1145/1076034.1076056openalex-snapshot
Scalable collaborative filtering using cluster-based smoothing
inferredcites →https://doi.org/10.1145/1102351.1102441openalex-snapshot
Fast maximum margin matrix factorization for collaborative prediction
inferredcites →https://doi.org/10.1145/1148170.1148257openalex-snapshot
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
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Restricted Boltzmann machines for collaborative filtering
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Efficient bayesian hierarchical user modeling for recommendation system
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Proceedings of the 25th international conference on Machine learning - ICML '08
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Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
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Feedback effects between similarity and social influence in online communities
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1571941.1571977openalex-snapshot
On social networks and collaborative recommendation
inferredcites →https://doi.org/10.1145/1571941.1571978openalex-snapshot
Learning to recommend with social trust ensemble
inferredcites →https://doi.org/10.1145/1631272.1631293openalex-snapshot
Distance metric learning from uncertain side information with application to automated photo tagging
inferredcites →https://doi.org/10.1145/1639714.1639746openalex-snapshot
Learning to recommend with trust and distrust relationships
inferredcites →https://doi.org/10.1145/1753326.1753532openalex-snapshot
Signed networks in social media
inferredcites →https://doi.org/10.1145/1772690.1772756openalex-snapshot
Predicting positive and negative links in online social networks
inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot
A matrix factorization technique with trust propagation for recommendation in social networks
inferredcites →https://doi.org/10.1145/1935826.1935877openalex-snapshot
Recommender systems with social regularization
inferredcites →https://doi.org/10.1145/1961209.1961212openalex-snapshot
Improving Recommender Systems by Incorporating Social Contextual Information
inferredcites →https://doi.org/10.1145/2460383.2460385openalex-snapshot
Enhancing the trust-based recommendation process with explicit distrust
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An experimental study on implicit social recommendation
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A survey of trust in social networks
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/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1145/963770.963774openalex-snapshot
Latent semantic models for collaborative filtering
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.1145/988672.988727openalex-snapshot
Propagation of trust and distrust
inferredcites →https://doi.org/10.1609/aaai.v25i1.7837openalex-snapshot
Social Recommendation Using Low-Rank Semidefinite Program
inferredcites →https://doi.org/10.3233/his-130166openalex-snapshot
A fuzzy co-clustering approach for hybrid recommender systems
inferredcites →https://doi.org/10.48550/arxiv.1106.4574openalex-snapshot
Better Mini-Batch Algorithms via Accelerated Gradient Methods
inferredcites →https://doi.org/10.48550/arxiv.1301.3885openalex-snapshot
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
inferredcites →https://doi.org/10.5555/777092.777124openalex-snapshot
Content-boosted collaborative filtering for improved recommendations
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval
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PAC Generalization Bounds for Co-training
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A novel collective matrix factorization model for recommendation with fine‐grained social trust prediction
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Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation
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Implicit Trust and Distrust Prediction for Recommender Systems
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Performing SVD on Matrices and Its Extensions
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Social Recommendation Terms: Probabilistic Explanation Optimization
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A Regularization Method with Inference of Trust and Distrust in Recommender Systems
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Security and Privacy of Customer Data as an Element Creating the Image of the Company
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Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
inferred← citeshttps://doi.org/10.25335/m56z0kopenalex-snapshot
Matrix Completion With Side Information For Effective Recommendation
inferred← citeshttps://doi.org/10.3390/app10072540openalex-snapshot
Leveraging User Comments for Recommendation in E-Commerce
inferred← citeshttps://doi.org/10.3390/app13179574openalex-snapshot
Matrix Factorization Collaborative-Based Recommender System for Riyadh Restaurants: Leveraging Machine Learning to Enhance Consumer Choice
inferred← citeshttps://doi.org/10.3390/electronics11244160openalex-snapshot
Recommendation Model Based on Probabilistic Matrix Factorization and Rated Item Relevance
inferred← citeshttps://doi.org/10.3390/info9080191openalex-snapshot
Leveraging Distrust Relations to Improve Bayesian Personalized Ranking
inferred← citeshttps://doi.org/10.48550/arxiv.1905.13612openalex-snapshot
Leveraging Trust and Distrust in Recommender Systems via Deep Learning
inferred← citeshttps://doi.org/10.5121/csit.2018.81500openalex-snapshot
Computer Science & Information Technology (CS & IT)
inferred← citeshttps://doi.org/10.5121/csit.2018.81503openalex-snapshot
ENHANCE NMF-BASED RECOMMENDATION SYSTEMS WITH SOCIAL INFORMATION IMPUTATION
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