9 search results - page 1 / 2 » Selecting Relevant Instances for Efficient and Accurate Coll... |
CIKM
2001
Springer
13 years 9 months ago
2001
Springer
Collaborative filtering uses a database about consumers’ preferences to make personal product recommendations and is achieving widespread success in both E-Commerce and Informat...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
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...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
AH
2006
Springer
13 years 8 months ago
2006
Springer
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...