Journal: International Journal of Interactive Multimedia and Artificial Intelligence
ISSN 1989-1660
Volume: 1;
Issue: 4;
Start page: 54;
Date: 2011;
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Keywords: Bibliometrics | Competitive intelligence | Data mining | Metasearch engines | patents | Scientometrics | Technological Surveillance | Technology roadmaps
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.
ISSN 1989-1660
Volume: 1;
Issue: 4;
Start page: 54;
Date: 2011;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Bibliometrics | Competitive intelligence | Data mining | Metasearch engines | patents | Scientometrics | Technological Surveillance | Technology roadmaps
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.
