Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
A maximum entropy approach to natural language processing
Computational Linguistics
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Collaborative filtering and the generalized vector space model (poster session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
SWAMI (poster session): a framework for collaborative filtering algorithm development and evaluation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Latent Class Models for Collaborative Filtering
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Feature Weighting and Instance Selection for Collaborative Filtering
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Time weight collaborative filtering
Proceedings of the 14th ACM international conference on Information and knowledge management
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
An empirical investigation of user term feedback in text-based targeted image search
ACM Transactions on Information Systems (TOIS)
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
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Distributed collaborative filtering with domain specialization
Proceedings of the 2007 ACM conference on Recommender systems
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
Unified relevance models for rating prediction in collaborative filtering
ACM Transactions on Information Systems (TOIS)
Open Domain Recommendation: Social Networks and Collaborative Filtering
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Learning Bidirectional Similarity for Collaborative Filtering
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Boosting collaborative filtering based on statistical prediction errors
Proceedings of the 2008 ACM conference on Recommender systems
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Short communication: Recommendation based on rational inferences in collaborative filtering
Knowledge-Based Systems
Improving Accuracy of Recommender System by Item Clustering
IEICE - Transactions on Information and Systems
Collaborative filtering using orthogonal nonnegative matrix tri-factorization
Information Processing and Management: an International Journal
Learning to recommend with social trust ensemble
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
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
A brief survey of computational approaches in social computing
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A collaborative recommender system based on asymmetric user similarity
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Aggregating preference graphs for collaborative rating prediction
Proceedings of the fourth ACM conference on Recommender systems
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
A probabilistic approach to semantic collaborative filtering using world knowledge
Journal of Information Science
An enhanced semi-supervised recommendation model based on green's function
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Learning to recommend with explicit and implicit social relations
ACM Transactions on Intelligent Systems and Technology (TIST)
Improving Recommender Systems by Incorporating Social Contextual Information
ACM Transactions on Information Systems (TOIS)
Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization
Data Mining and Knowledge Discovery
Probabilistic factor models for web site recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Collaborative filtering based on significances
Information Sciences: an International Journal
An efficient context-aware personalization technique in ubiquitous environments
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
A levelwise spectral co-clustering algorithm for collaborative filtering
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Analyzing weighting schemes in collaborative filtering: cold start, post cold start and power users
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Proceedings of the 27th Annual ACM Symposium on Applied Computing
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Engineering Applications of Artificial Intelligence
SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems
Journal of Information Science
Advance missing data processing for collaborative filtering
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Predicting User-to-content Links in Flickr Groups
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
An experimental study on implicit social recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
βP: A novel approach to filter out malicious rating profiles from recommender systems
Decision Support Systems
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Proceedings of the 7th ACM conference on Recommender systems
A probability-based unified framework for semantic search and recommendation
Journal of Information Science
A Social-Aware Service Recommendation Approach for Mashup Creation
International Journal of Web Services Research
Bridging memory-based collaborative filtering and text retrieval
Information Retrieval
Modeling contextual agreement in preferences
Proceedings of the 23rd international conference on World wide web
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Collaborative filtering identifies information interest of a particular user based on the information provided by other similar users. The memory-based approaches for collaborative filtering (e.g., Pearson correlation coefficient approach) identify the similarity between two users by comparing their ratings on a set of items. In these approaches, different items are weighted either equally or by some predefined functions. The impact of rating discrepancies among different users has not been taken into consideration. For example, an item that is highly favored by most users should have a smaller impact on the user-similarity than an item for which different types of users tend to give different ratings. Even though simple weighting methods such as variance weighting try to address this problem, empirical studies have shown that they are ineffective in improving the performance of collaborative filtering. In this paper, we present an optimization algorithm to automatically compute the weights for different items based on their ratings from training users. More specifically, the new weighting scheme will create a clustered distribution for user vectors in the item space by bringing users of similar interests closer and separating users of different interests more distant. Empirical studies over two datasets have shown that our new weighting scheme substantially improves the performance of the Pearson correlation coefficient method for collaborative filtering.