499 search results - page 5 / 100 » Search Engines that Learn from Implicit Feedback |
160
click to vote
AIRS
2006
Springer
15 years 9 months ago
2006
Springer
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...
174
click to vote
CIKM
2005
Springer
15 years 11 months ago
2005
Springer
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
160
click to vote
SIGIR
2010
ACM
15 years 10 months ago
2010
ACM
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
149
click to vote
WISE
2000
Springer
15 years 10 months ago
2000
Springer
In this paper we report our research on building WebSail { an intelligent web search engine that is able to perform real-time adaptive learning. WebSail learns from the user'...
155
click to vote
SIGIR
2004
ACM
15 years 11 months ago
2004
ACM
We investigate how users interact with the results page of a WWW search engine using eye-tracking. The goal is to gain into how users browse the presented abstracts and how they s...