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» Learning to recommend questions based on user ratings
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ICML
1998
IEEE
15 years 10 months ago
Learning Collaborative Information Filters
Predicting items a user would like on the basis of other users' ratings for these items has become a well-established strategy adopted by many recommendation services on the ...
Daniel Billsus, Michael J. Pazzani
ER
2008
Springer
179views Database» more  ER 2008»
14 years 11 months ago
Recommendation Based Process Modeling Support: Method and User Experience
Abstract Although most workflow management systems nowadays offer graphical editors for process modeling, the learning curve is still too steep for users who are unexperienced in p...
Thomas Hornung, Agnes Koschmider, Georg Lausen
UIC
2007
Springer
15 years 3 months ago
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s phy...
Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho
RECSYS
2009
ACM
15 years 4 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
CNSR
2007
IEEE
128views Communications» more  CNSR 2007»
15 years 4 months ago
A Novel Approach for Frequent Phrase Mining in Web Search Engine Query Streams
In this paper, conceptual frequency rate, a new frequency definition suitable for query stream mining, is introduced. An online single-pass algorithm called OFSD (Online Frequent...
M. Barouni-Ebrahimi, Ali A. Ghorbani