Title :
A Bookmark Recommender System Based on Social Bookmarking Services and Wikipedia Categories
Author :
Yoshida, Takafumi ; Inoue, Ushio
Author_Institution :
Grad. Sch. of Eng., Tokyo Denki Univ., Tokyo, Japan
Abstract :
Social book marking services allow users to add bookmarks of web pages with freely chosen keywords as tags. Personalized recommender systems recommend new and useful bookmarks added by other users. We propose a new method to find similar users and to select relevant bookmarks in a social book marking service. Our method is lightweight, because it uses a small set of important tags for each user to find useful bookmarks to recommend. Our method is also powerful, because it employs the Wikipedia category database to deal with the diversity of tags among users. The evaluation using the Hatena bookmark service in Japan shows that our method significantly increases the number of relevant bookmarks recommended without notable increase of irrelevant bookmarks.
Keywords :
Web sites; database management systems; recommender systems; Hatena bookmark service; Japan; Web pages; Wikipedia category database; bookmark recommender system; keyword tags; personalized recommender systems; social bookmarking services; tags diversity; Electronic publishing; Encyclopedias; Internet; Recommender systems; Tagging; Web pages; algorithm; folksonomy; recommender; tagging;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2013 14th ACIS International Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/SNPD.2013.3