DocumentCode
3530768
Title
Recommendations in Twitter using conceptual fuzzy sets
Author
Sakaguchi, Takatoshi ; Akaho, Yuya ; Takagi, Tomohiro ; Shintani, Takuya
Author_Institution
Dept. of Comput. Sci., Meiji Univ., Kawasaki, Japan
fYear
2010
fDate
12-14 July 2010
Firstpage
1
Lastpage
6
Abstract
Recently, though there are a lot of techniques to rank information there are few studies on how to rank users and thus help to form online communities. We propose the use of a system to recommend the user by analyzing his or her interests, and using Conceptual Fuzzy Sets to expand a query. We show the effectiveness of using Conceptual Fuzzy Sets for recommending users. This can be applied to forming communities.
Keywords
fuzzy set theory; recommender systems; social networking (online); Twitter; conceptual fuzzy set; recommendation system; Collaboration; Collaborative work; Computer science; Filtering; Fuzzy sets; Information services; Internet; Prototypes; Twitter; Web sites; conceptual fuzzy sets; recommendation; use theory of meaning;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-7859-0
Electronic_ISBN
978-1-4244-7857-6
Type
conf
DOI
10.1109/NAFIPS.2010.5548208
Filename
5548208
Link To Document