Improving a Recommender System Through Integration of User Profiles: a Semantic Approach

20th Conference on User Modeling, Adaptation, and Personalization

Jonathas Magalha˜es ; Cleyton Souza ; Priscylla Silva

Others  :  http://ceur-ws.org/Vol-872/srs2012_paper_5.pdf
PID  :  46094

来源: CEUR

【 摘 要 】

The users are present in multiple social networks/virtual com- munities and each one can be considered as a source of in- formation about this user. In face to this question it is im- portant a mechanism to integrate the user profiles. Through the integration of user profiles it is possible identifier more accurately their interests analyzing other data sources that they are present, possible reducing the cold-start problem. In this context, we present a semantic approach to help in- tegrate data from multiple sources, for the construction and maintenance of user profiles that will be used to improve the quality of a recommender system. To integrate data from multiple sources, we defined a heuristic that quantifies the importance of each data source for a given user. To validate our approach, we perform a case study, where the solution was coupled into a recommender system of papers focused in Software Engineering domain. The user profiles were built extracting their information from the Brazilian Curricu- lum Vitae database named CV-Lattes, an academic platform, and Linkedin, a business network. We compared the quality of the recommendation based on the profiles integrated and non-integrated. The results show the superior quality of the recommendation based on integrated profile. Author Keywords User profile, building user profile, integration of user profile, maintaining user profile. ACM Classification Keywords H.3.3 Information systems Search and Retrieval: [Informa- tion Search and Retrieval; Retrieval models] Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. CHI 2009, April 4 - 9, 2009, Boston, Massachusetts, USA.