Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Learning to recommend from positive evidence
Proceedings of the 5th international conference on Intelligent user interfaces
Learning user interest dynamics with a three-descriptor representation
Journal of the American Society for Information Science and Technology
Modern Information Retrieval
PVA: A Self-Adaptive Personal View Agent
Journal of Intelligent Information Systems
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
An automated system for web portal personalization
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A Collaborative Approach to User Modeling for Personalized Content Recommendations
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
Personalized search by tag-based user profile and resource profile in collaborative tagging systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Personalized resource search by tag-based user profile and resource profile
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Interactive tutoring of cooking activities with personalized multimedia recipe search
MTDL '11 Proceedings of the third international ACM workshop on Multimedia technologies for distance learning
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With the spread of the Web, users can obtain a wide variety of information, and also can access novel content in real time. In this environment, finding useful information from a huge amount of available content becomes a time consuming process. In this paper, we focus on user modeling for personalization to recommend content relevant to user interests. Techniques used for association rules in deriving user profiles are exploited for discovering useful and meaningful patterns of users. Each user preference is presented the frequent term patterns, collectively called PTP (Personalized Term Pattern) and the preference terms, called PT (Personalized Term). In addition, a content-based filtering approach is employed to recommend content corresponding with user preferences. In order to evaluate the performance of the proposed method, we compare experimental results with those of a probabilistic learning model and vector space model. The experimental evaluation on NSF research award datasets demonstrates that the proposed method brings significant advantages in terms of improving the recommendation quality in comparison with the other methods.