380 search results - page 1 / 76 » Evaluating the Robustness of Learning from Implicit Feedback |
CORR
2006
Springer
13 years 4 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 7 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...
SIGIR
2006
ACM
13 years 10 months ago
2006
ACM
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
ECIR
2004
Springer
13 years 6 months ago
2004
Springer
In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from se...
CIKM
2011
Springer
12 years 4 months ago
2011
Springer
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...