124 search results - page 15 / 25 » An Iterative Implicit Feedback Approach to Personalized Sear... |
SIGIR
2012
ACM
13 years 2 days ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
CHI
2011
ACM
14 years 1 months ago
2011
ACM
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
MM
2004
ACM
15 years 3 months ago
2004
ACM
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
CIKM
2007
Springer
15 years 3 months ago
2007
Springer
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
IPM
2008
14 years 9 months ago
2008
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...