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» Temporal diversity in recommender systems
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SIGIR
2010
ACM
13 years 7 months ago
Temporal diversity in recommender systems
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
ICCBR
2003
Springer
13 years 8 months ago
On the Role of Diversity in Conversational Recommender Systems
In the past conversational recommender systems have adopted a similarity-based approach to recommendation, preferring cases that are similar to some user query or profile. Recent ...
Lorraine McGinty, Barry Smyth
AH
2006
Springer
13 years 9 months ago
Ways of Computing Diverse Collaborative Recommendations
Abstract. Conversational recommender systems adapt the sets of products they recommend in light of user feedback. Our contribution here is to devise and compare four different mec...
Derek G. Bridge, John Paul Kelly
TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 6 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
ITCC
2005
IEEE
13 years 9 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou