TY - JOUR KW - Recommendation Systems KW - Method KW - Feedback KW - Rating AU - Juan Manuel Cueva-Lovelle AU - G Infante-Hernandez AU - Carlos Enrique Montenegro-Marín 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 -