Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems

TitleSocial Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems
Publication TypeJournal Article
Year of Publication2011
AuthorsNúñez-Valdez, E. R., J. M. Cueva-Lovelle, O. Sanjuan-Martinez, C. E. Montenegro-Marin, and G. Infante-Hernandez
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Computer Science and Software Engineering
Volume1
Number4
Date Published12/2011
Pagination61-66
Abstract

Web recommendation systems usually brings a content list to users based on previous ratings made by them to other similar contents through some social voting mean. This paper aims to present a comparison of the main explicit rating methods used by web recommendation systems. The goal of this survey is to determine which of the studied methods fits better to user preferences when they rate a content on the web; based on the obtained results, a recommendation system can be implemented using an explicit feedback method to achieve this goal.

KeywordsFeedback, Method, Rating, Recommendation Systems
DOI10.9781/ijimai.2011.1410
URLhttp://www.ijimai.org/journal/sites/default/files/IJIMAI20111_4_10.pdf
AttachmentSize
IJIMAI20111_4_10.pdf659.56 KB