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» Improving Case-Based Recommendations Using Implicit Feedback
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ECWEB
2009
Springer
204views ECommerce» more  ECWEB 2009»
14 years 2 months ago
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
István Pilászy, Domonkos Tikk
AAAI
2008
13 years 9 months ago
Query-URL Bipartite Based Approach to Personalized Query Recommendation
Query recommendation is considered an effective assistant in enhancing keyword based queries in search engines and Web search software. Conventional approach to query recommendati...
Lin Li, Zhenglu Yang, Ling Liu, Masaru Kitsuregawa
TKDD
2010
121views more  TKDD 2010»
13 years 5 months ago
Factor in the neighbors: Scalable and accurate collaborative filtering
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
WWW
2009
ACM
14 years 8 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
INFOCOM
2010
IEEE
13 years 5 months ago
Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web
We propose a distributed mechanism for finding websurfing strategies that is inspired by the StumbleUpon recommendation engine. Each day, a websurfer visits a sequence of websites ...
Stratis Ioannidis, Laurent Massoulié