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

Autor: Edward Rolando Nuñez Valdez, Juan Manuel Cueva Lovelle, Oscar Sanjuán Martínez, Carlos E. Montenegro Marín, Guillermo Infante Hernández, Shirshu Verma

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 1, Iss 4, Pp 61-66 (2011)
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
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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 we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b02db31eba815593309dac84a3c613a
https://reunir.unir.net/handle/123456789/9514

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

Autor: Carlos E. Montenegro Marin, Oscar Sanjuan Martinez, Juan Manuel Cueva Lovelle, Edward Rolando Nuñez-Valdez, Guillermo Infante Hernandez

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 1, Iss 4, Pp 61-66 (2011)

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 we

Externí odkaz: https://doaj.org/article/bd50a1f4b781434cb50db183041eeb8e