TY - JOUR
KW - Recommendation Systems
KW - Method
KW - Feedback
KW - Rating
AU - Juan Manuel Cueva-Lovelle
AU - G Infante-Hernandez
AU - Carlos Enrique Montenegro-Marin
AU - Edward Núñez-Valdez
AU - Oscar Sanjuan-Martinez
AB - 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.
IS - Special Issue on Computer Science and Software Engineering
M1 - 4
N2 - 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.
PY - 2011
SP - 61
EP - 66
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems
UR - http://www.ijimai.org/journal/sites/default/files/IJIMAI20111_4_10.pdf
VL - 1
SN - 1989-1660
ER -