Title :
A hybrid recommender system based non-common items in social media
Author :
Chi-Chih Yu ; Yamaguchi, Toru ; Takama, Yasufumi
Author_Institution :
Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Tokyo, Japan
Abstract :
A decade ago, an increasing number of people are accustomed to utilize the social media for sharing their impressions, experiences, information, and resources. A social media website does not only provide the information sharing functions for the users but also has the capability to match users´ similar interesting preferences. Therefore, a recommender that can recommend highly interesting information to the users will make the users easy to gain new information they want, suggest implicit friends who have same hobbies, and increase the interactions with others. In this paper, we proposed a weight based recommendation method for social media, which usually has only the personal items uploaded by the users. Our evaluation results show this recommendation approach is feasible and flexible. Furthermore, we applied the proposed recommendation method into our information sharing system and look forward it can raise the interactions with the users in order to improve the quality of community.
Keywords :
Web sites; recommender systems; social networking (online); community quality; hybrid recommender system; information sharing system; noncommon items; personal items; social media Website; users interactions; weight based recommendation method; Media; Recommender systems; Sensors; Servers; Social network services; Web 2.0; Web pages; Recommender systems; Social media; content based recommendation;
Conference_Titel :
Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013 International Joint Conference on
Conference_Location :
Aizuwakamatsu
DOI :
10.1109/ICAwST.2013.6765443