GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Collaborative filtering with privacy via factor analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Collaborative filtering via gaussian probabilistic latent semantic analysis
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
An automatic weighting scheme for collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Effective missing data prediction for collaborative filtering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient bayesian hierarchical user modeling for recommendation system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Trust-based recommendation systems: an axiomatic approach
Proceedings of the 17th international conference on World Wide Web
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Proceedings of the 25th international conference on Machine learning
EigenRank: a ranking-oriented approach to collaborative filtering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Trust based recommender system for the semantic web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning to recommend with trust and distrust relationships
Proceedings of the third ACM conference on Recommender systems
Proceedings of the 18th ACM conference on Information and knowledge management
A social recommendation framework based on multi-scale continuous conditional random fields
Proceedings of the 18th ACM conference on Information and knowledge management
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
Proceedings of the 2nd ACM workshop on Social web search and mining
A matrix factorization technique with trust propagation for recommendation in social networks
Proceedings of the fourth ACM conference on Recommender systems
Learning a user-thread alignment manifold for thread recommendation in online forum
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Music recommendation by unified hypergraph: combining social media information and music content
Proceedings of the international conference on Multimedia
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
CMAP: effective fusion of quality and relevance for multi-criteria recommendation
Proceedings of the fourth ACM international conference on Web search and data mining
Learning to recommend with explicit and implicit social relations
ACM Transactions on Intelligent Systems and Technology (TIST)
Personalized social recommendations: accurate or private
Proceedings of the VLDB Endowment
How far are we in trust-aware recommendation?
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Exploiting geographical influence for collaborative point-of-interest recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Associative tag recommendation exploiting multiple textual features
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Cost-aware travel tour recommendation
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Using rich social media information for music recommendation via hypergraph model
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
A generalized stochastic block model for recommendation in social rating networks
Proceedings of the fifth ACM conference on Recommender systems
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation
Proceedings of the fifth ACM conference on Recommender systems
Adaptive social similarities for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Evolving social search based on bookmarks and status messages from social networks
Proceedings of the 20th ACM international conference on Information and knowledge management
Quality and Leniency in Online Collaborative Rating Systems
ACM Transactions on the Web (TWEB)
Multi-relational matrix factorization using bayesian personalized ranking for social network data
Proceedings of the fifth ACM international conference on Web search and data mining
Introduction to social computing
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
The state-of-the-art in personalized recommender systems for social networking
Artificial Intelligence Review
User graph regularized pairwise matrix factorization for item recommendation
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
New objective functions for social collaborative filtering
Proceedings of the 21st international conference on World Wide Web
A social network-based approach to expert recommendation system
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
PointBurst: towards a trust-relationship framework for improved social recommendations
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
A transitivity aware matrix factorization model for recommendation in social networks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Recommending Flickr groups with social topic model
Information Retrieval
Circle-based recommendation in online social networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning personal + social latent factor model for social recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploring social influence for recommendation: a generative model approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Trust-based local and social recommendation
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
On top-k recommendation using social networks
Proceedings of the sixth ACM conference on Recommender systems
PRemiSE: personalized news recommendation via implicit social experts
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning to recommend with social relation ensemble
Proceedings of the 21st ACM international conference on Information and knowledge management
An empirical comparison of social, collaborative filtering, and hybrid recommenders
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Social temporal collaborative ranking for context aware movie recommendation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Personalized Reliability Prediction of Web Services
ACM Transactions on Software Engineering and Methodology (TOSEM)
Task recommendation in crowdsourcing systems
Proceedings of the First International Workshop on Crowdsourcing and Data Mining
Stock Market Investment Advice: A Social Network Approach
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
A sentiment-enhanced personalized location recommendation system
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Modeling user's receptiveness over time for recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Personalized time-aware tweets summarization
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Collaborative factorization for recommender systems
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Recommendation for online social feeds by exploiting user response behavior
Proceedings of the 22nd international conference on World Wide Web companion
HeteroMF: recommendation in heterogeneous information networks using context dependent factor models
Proceedings of the 22nd international conference on World Wide Web
AnchorMF: towards effective event context identification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Context-aware review helpfulness rating prediction
Proceedings of the 7th ACM conference on Recommender systems
Proceedings of the first ACM conference on Online social networks
Nearest neighbour based social recommendation using heat diffusion
Proceedings of the 6th ACM India Computing Convention
Incorporating social actions into recommender systems
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Flickr group recommendation based on user-generated tags and social relations via topic model
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Utilizing social and behavioral neighbors for personalized recommendation
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Personalized news recommendation via implicit social experts
Information Sciences: an International Journal
A unified framework for reputation estimation in online rating systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Social collaborative filtering by trust
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Collaborative filtering with social regularization for TV program recommendation
Knowledge-Based Systems
Social collaborative retrieval
Proceedings of the 7th ACM international conference on Web search and data mining
Personalized entity recommendation: a heterogeneous information network approach
Proceedings of the 7th ACM international conference on Web search and data mining
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
ACM Transactions on Information Systems (TOIS)
Modeling contextual agreement in preferences
Proceedings of the 23rd international conference on World wide web
Merging trust in collaborative filtering to alleviate data sparsity and cold start
Knowledge-Based Systems
ACM Transactions on the Web (TWEB)
A survey of collaborative filtering based social recommender systems
Computer Communications
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As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, most of current recommender systems suffer the following problems: (1) The large-scale and sparse data of the user-item matrix seriously affect the recommendation quality. As a result, most of the recommender systems cannot easily deal with users who have made very few ratings. (2) The traditional recommender systems assume that all the users are independent and identically distributed; this assumption ignores the connections among users, which is not consistent with the real world recommendations. Aiming at modeling recommender systems more accurately and realistically, we propose a novel probabilistic factor analysis framework, which naturally fuses the users' tastes and their trusted friends' favors together. In this framework, we coin the term Social Trust Ensemble to represent the formulation of the social trust restrictions on the recommender systems. The complexity analysis indicates that our approach can be applied to very large datasets since it scales linearly with the number of observations, while the experimental results show that our method performs better than the state-of-the-art approaches.