A TrueSkill approach for movies recommendation
Laura Cruz Quispe$^{1}$, José Eduardo Ochoa Luna$^{2}$
$^{1}$National University of San Agustín. Arequipa Peru,
$^{2}$Universidad Católica San Pablo. Arequipa Peru
email: lcruzq@unsa.edu.pe, eduardo.ol@gmail.com

Schedule:Tue 20th@11:15, Room: A

In this work a probabilistic approach based on TrueSkill for Preference Elicitation is presented. This approach allow us to tackle the “cold start” problem because relies on a content based recommendation system. In addition, it is valuable for handling high uncertainty due there is no dependency on the number of products and users. The only dependency is on ratings given by users on products. The proposal is highly scalable due to user preferences get richer as they are added.

BibTex

@InProceedings{CLEI-2015:144691,
	author 		= {Laura Cruz Quispe and José Eduardo Ochoa Luna},
	title 		= {A TrueSkill approach for movies recommendation},
	booktitle 	= {2015 XLI Latin American Computing Conference (CLEI)},
	pages 		= {330--334},
	year 		= {2015},
	editor 		= {Hector Cancela and Alex Cuadros-Vargas and Ernesto Cuadros-Vargas},
	address 	= {Arequipa-Peru},
	month 		= {October},
	organization 	= {CLEI},
	publisher 	= {CLEI},
	url 		= {http://clei.org/clei2015/144691},
	isbn 		= {978-1-4673-9143-6},
	}