TY - GEN
T1 - Incorporating multi-criteria ratings in recommendation systems
AU - Lee, Hsin Hsien
AU - Teng, Wei-Guang
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Recommendation systems utilize information techniques to the problem of helping users find the items they would like. Example applications include the recommendation systems for movies, books, CDs and many others. As recommendation systems emerge as an independent research area, the rating structure plays a critical role in recent studies. Among many alternatives, the collaborative filtering algorithms are generally accepted to be successful to estimate user ratings of unseen items and then to derive proper recommendations. In this paper, we extend the concept of single criterion ratings to multi-criteria ones, i.e., an item can be evaluated in many different aspects. Since there are usually conflicts among different criteria, the recommendation problem cannot be formulated as an optimization problem any more. Instead, we propose to use data query techniques to solve this multi-criteria recommendation problem.
AB - Recommendation systems utilize information techniques to the problem of helping users find the items they would like. Example applications include the recommendation systems for movies, books, CDs and many others. As recommendation systems emerge as an independent research area, the rating structure plays a critical role in recent studies. Among many alternatives, the collaborative filtering algorithms are generally accepted to be successful to estimate user ratings of unseen items and then to derive proper recommendations. In this paper, we extend the concept of single criterion ratings to multi-criteria ones, i.e., an item can be evaluated in many different aspects. Since there are usually conflicts among different criteria, the recommendation problem cannot be formulated as an optimization problem any more. Instead, we propose to use data query techniques to solve this multi-criteria recommendation problem.
UR - http://www.scopus.com/inward/record.url?scp=47949119575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47949119575&partnerID=8YFLogxK
U2 - 10.1109/IRI.2007.4296633
DO - 10.1109/IRI.2007.4296633
M3 - Conference contribution
AN - SCOPUS:47949119575
SN - 1424414997
SN - 9781424414994
T3 - 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
SP - 273
EP - 278
BT - 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
T2 - 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
Y2 - 13 August 2007 through 15 August 2007
ER -