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» A Lattice-Based Model for Recommender Systems
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DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 6 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
JCDL
2004
ACM
146views Education» more  JCDL 2004»
15 years 5 months ago
Enhancing digital libraries with TechLens+
The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each y...
Roberto Torres, Sean M. McNee, Mara Abel, Joseph A...
IAT
2008
IEEE
15 years 6 months ago
Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems
We analyse data obtained from several collaborative tagging systems and discover that user interests can be very diverse. Traditional methods for representing interests of users a...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
EDM
2010
309views Data Mining» more  EDM 2010»
15 years 1 months ago
A Case Study: Data Mining Applied to Student Enrollment
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
César Vialardi Sacín, Jorge Chue, Al...
SIGIR
2009
ACM
15 years 6 months ago
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Social tagging is becoming increasingly popular in many Web 2.0 applications where users can annotate resources (e.g. Web pages) with arbitrary keywords (i.e. tags). A tag recomme...
Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can ...