A Framework for Tag-Based Research Paper Recommender System: An IR Approach

Authors:
Pijitra Jomsri;Siripun Sanguansintukul;Worasit Choochaiwattana
Affiliations:
-;-;-
Venue:
WAINA '10 Proceedings of the 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops
Year:
2010

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Abstract

The Internet and the World Wide Web provide a way to store and share information, especially in academic fields. Community-based research paper sharing systems, such as CiteULike, have become popular among researchers. This paper proposes a framework for a tag-based research paper recommender system. The proposed approach exploits the use of sets of tags for recommending research papers to each user. The preliminary evaluation shows that user self-defined tags could be used as a profile for each individual user. This recommender system demonstrated an encouraging preliminary result with the overall accuracy percentage up to 91.66%.