43 search results - page 2 / 9 » Query chains: learning to rank from implicit feedback |
KDD
2012
ACM
12 years 7 days ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
CORR
2006
Springer
13 years 9 months ago
2006
Springer
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
WWW
2010
ACM
14 years 4 months ago
2010
ACM
Query suggestion has been an effective approach to help users narrow down to the information they need. However, most of existing studies focused on only popular/head queries. Si...
SIGIR
2009
ACM
14 years 4 months ago
2009
ACM
We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted ...
ECIR
2011
Springer
13 years 1 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...