499 search results - page 29 / 100 » Search Engines that Learn from Implicit Feedback |
SIGIR
2009
ACM
15 years 5 months ago
2009
ACM
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...
ITCC
2002
IEEE
15 years 4 months ago
2002
IEEE
Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, t...
KDD
2009
ACM
15 years 6 months ago
2009
ACM
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
WWW
2010
ACM
15 years 5 months ago
2010
ACM
Leveraging clickthrough data has become a popular approach for evaluating and optimizing information retrieval systems. Although data is plentiful, one must take care when interpr...
86
Voted
SIGIR
2005
ACM
15 years 4 months ago
2005
ACM
Information retrieval is, in general, an iterative search process, in which the user often has several interactions with a retrieval system for an information need. The retrieval ...