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» Vibes: A Platform-Centric Approach to Building Recommender S...
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ENTER
2009
Springer
14 years 2 months ago
Learning Adaptive Recommendation Strategies for Online Travel Planning
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...
Tariq Mahmood, Francesco Ricci, Adriano Venturini
WWW
2005
ACM
14 years 8 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
DSS
2008
133views more  DSS 2008»
13 years 7 months ago
A semantic-expansion approach to personalized knowledge recommendation
The rapid propagation of the Internet and information technologies has changed the nature of many industries. Fast response and personalized recommendations have become natural tr...
Ting-Peng Liang, Yung-Fang Yang, Deng-Neng Chen, Y...
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 8 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 7 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren