An empirical study of natural noise management in group recommendation systems

Author:

Castro Jorge,Yera Raciel,Martínez LuisORCID

Funder

Spanish FPU

Eureka SD Project

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference30 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Trans. on Knowl. Data Eng.,,2005

2. I like It.. I like It Not: Evaluating User Ratings Noise in Recommender Systems;Amatriain,2009

3. Rate It Again: Increasing Recommendation Accuracy by User Re-Rating;Amatriain,2009

4. Data Mining Methods for Recommender Systems;Amatriain,2015

5. Group recommendation: semantics and efficiency;Amer-Yahia;Proceedings of the VLDB Endowment,2009

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