Title :
Bookmark recommendation in social bookmarking services using Wikipedia
Author :
Yoshida, Takafumi ; Inoue, Ushio
Author_Institution :
Grad. Sch. of Eng., Tokyo Denki Univ., Tokyo, Japan
Abstract :
Social bookmarking systems allow users to attach freely chosen keywords as tags to bookmarks of web pages. These tags are used to recommend relevant bookmarks to other users. However, there is no guarantee that every user get enough bookmark recommended, because of the diversity of tags. In this paper, we propose a personalized recommender system using Wikipedia. Our system extends a tag set to find similar users and relevant bookmarks by using the Wikipedia category database. The experimental results show that significant increase of relevant bookmarks recommended without notable increase of the noise.
Keywords :
Web sites; database management systems; recommender systems; social networking (online); Web pages; Wikipedia category database; bookmark recommendation; personalized recommender system; social bookmarking services; Databases; Electronic publishing; Encyclopedias; Internet; Recommender systems; Tagging; algrorithm; folksonomy; recommender;
Conference_Titel :
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location :
Niigata
DOI :
10.1109/ICIS.2013.6607898
