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ECWEB
2004
Springer
91views ECommerce» more  ECWEB 2004»
13 years 10 months ago
On the Use of Bipolar Scales in Preference-Based Recommender Systems
Recommendations in e–commerce collaborative filtering are based on predicting the preference of a user for a given item according to historical records of other user’s prefere...
Miguel-Ángel Sicilia, Elena García B...
DEXA
2008
Springer
181views Database» more  DEXA 2008»
13 years 6 months ago
Query Recommendation Using Large-Scale Web Access Logs and Web Page Archive
Query recommendation suggests related queries for search engine users when they are not satisfied with the results of an initial input query, thus assisting users in improving sear...
Lin Li, Shingo Otsuka, Masaru Kitsuregawa
CCIA
2005
Springer
13 years 10 months ago
Modelling the Human Values Scale in Recommender Systems: A first approach
The objective of this paper is two-fold. The first is to develop a methodology capable of extracting the Human Values Scale (HVS) from the user, with reference to his/her objective...
Javier Guzmán, Gustavo González, Jos...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 5 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
SIGIR
2011
ACM
12 years 7 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...