Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Combining classifiers in text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Enhancing a digital book with a reading recommender
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
An information retrieval system based on a user profile
Journal of Systems and Software
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Subject Classification in the Oxford English Dictionary
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Stimulating knowledge discovery and sharing
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Journal of Systems and Software
An approach for combining content-based and collaborative filters
AsianIR '03 Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11
Automatic generation of document semantics for the e-science knowledge grid
Journal of Systems and Software - Special issue: Selected papers from the 11th Asia Pacific software engineering conference (APSEC 2004)
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Integrating knowledge flow mining and collaborative filtering to support document recommendation
Journal of Systems and Software
Expert Systems with Applications: An International Journal
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
A social recommender mechanism for improving knowledge sharing in online forums
Information Processing and Management: an International Journal
Novel personal and group-based trust models in collaborative filtering for document recommendation
Information Sciences: an International Journal
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Sharing sustainable and valuable knowledge among knowledge workers is a fundamental aspect of knowledge management. In organizations, knowledge workers usually have personal folders in which they organize and store needed codified knowledge (textual documents) in categories. In such personal folder environments, providing knowledge workers with needed knowledge from other workers' folders is important because it increases the workers' productivity and the possibility of reusing and sharing knowledge. Conventional recommendation methods can be used to recommend relevant documents to workers; however, those methods recommend knowledge items without considering whether the items are assigned to the appropriate category in the target user's personal folders. In this paper, we propose novel document recommendation methods, including content-based filtering and categorization, collaborative filtering and categorization, and hybrid methods, which integrate text categorization techniques, to recommend documents to target worker's personalized categories. Our experiment results show that the hybrid methods outperform the pure content-based and the collaborative filtering and categorization methods. The proposed methods not only proactively notify knowledge workers about relevant documents held by their peers, but also facilitate push-mode knowledge sharing.