DocumentCode
3156812
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
fYear
2013
fDate
16-20 June 2013
Firstpage
551
Lastpage
552
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location
Niigata
Type
conf
DOI
10.1109/ICIS.2013.6607898
Filename
6607898
Link To Document