Sciweavers

362 search results - page 31 / 73
» Learning preferences of new users in recommender systems: an...
Sort
View
WWW
2009
ACM
14 years 8 months ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...
CHI
2009
ACM
14 years 8 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
AH
2000
Springer
13 years 12 months ago
Case-Based User Profiling for Content Personalisation
As it stands the Internet’s “one size fits all” approach to information retrieval presents the average user with a serious information overload problem. Adaptive hypermedia s...
Keith Bradley, Rachael Rafter, Barry Smyth
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
14 years 11 days ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 8 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims