43 search results - page 4 / 9 » Query chains: learning to rank from implicit feedback |
SIGIR
2006
ACM
15 years 3 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 ...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
IADIS
2004
14 years 11 months ago
2004
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...