499 search results - page 1 / 100 » Search Engines that Learn from Implicit Feedback |
COMPUTER
2007
13 years 6 months ago
2007
KDD
2005
ACM
14 years 6 months ago
2005
ACM
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 ...
CORR
2006
Springer
13 years 6 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 ...
KDD
2012
ACM
11 years 8 months 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...
CIVR
2010
Springer
13 years 10 months ago
2010
Springer
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...