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
WordNet: a lexical database for English
Communications of the ACM
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Learning to recommend from positive evidence
Proceedings of the 5th international conference on Intelligent user interfaces
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
PVA: A Self-Adaptive Personal View Agent
Journal of Intelligent Information Systems
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
Proceedings of the 13th international conference on World Wide Web
User Modelling for News Web Sites with Word Sense Based Techniques
User Modeling and User-Adapted Interaction
IEEE Transactions on Knowledge and Data Engineering
CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
IEEE Intelligent Systems
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
User Modeling and User-Adapted Interaction
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
Cross-representation mediation of user models
User Modeling and User-Adapted Interaction
Modeling user multiple interests by an improved GCS approach
Expert Systems with Applications: An International Journal
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm
International Journal of Business Information Systems
International Journal of Business Information Systems
International Journal of Business Information Systems
Hi-index | 0.00 |
Recommender systems, which have emerged in response to the problem of information overload, provide users with recommendations of content suited to their needs. To provide proper recommendations to users, personalized recommender systems require accurate user models of characteristics, preferences and needs. In this study, we propose a collaborative approach to user modeling for enhancing personalized recommendations to users. Our approach first discovers useful and meaningful user patterns, and then enriches the personal model with collaboration from other similar users. In order to evaluate the performance of our approach, we compare experimental results with those of a probabilistic learning model, a user model based on collaborative filtering approaches, and a vector space model. We present experimental results that show how our model performs better than existing alternatives.