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ISNN
2010
Springer
13 years 9 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
WWW
2010
ACM
13 years 11 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
13 years 11 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
ANZIIS
1996
IEEE
13 years 9 months ago
An object oriented intelligent tourist advisor system
This paper describes the design and developmentof an expert system for tourist information center. The expert system was built to recommend a suitable travel schedule that satisfi...
C. H. K. Tsang, M. H. C. Woo, C. Bloor
CCS
2008
ACM
13 years 6 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...