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CIKM
2001
Springer
14 years 1 months ago
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering
Collaborative filtering uses a database about consumers’ preferences to make personal product recommendations and is achieving widespread success in both E-Commerce and Informat...
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Krieg...
SIGMOD
2010
ACM
188views Database» more  SIGMOD 2010»
14 years 1 months ago
A demonstration of FlexPref: extensible preference evaluation inside the DBMS engine
This demonstration presents FlexPref, a framework implemented inside the DBMS query processor that enables efficient and extensible preference query processing. FlexPref provides ...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
ICPR
2008
IEEE
14 years 9 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
AUTOMOTIVEUI
2009
ACM
14 years 3 months ago
Enhanced auditory menu cues improve dual task performance and are preferred with in-vehicle technologies
Auditory display research for driving has mainly focused on collision warning signals, and recent studies on auditory invehicle information presentation have examined only a limit...
Myounghoon Jeon, Benjamin K. Davison, Michael A. N...
SOFSEM
2010
Springer
14 years 5 months ago
Continuous Processing of Preference Queries in Data Streams
Preference queries have received considerable attention in the recent past, due to their use in selecting the most preferred objects, especially when the selection criteria are con...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...