499 search results - page 12 / 100 » Search Engines that Learn from Implicit Feedback |
100
Voted
METRICS
1997
IEEE
15 years 3 months ago
1997
IEEE
Schlumberger RPS successfully applies software measurement to support their software development projects. It is proposed that the success of their measurement practices is mainly...
107
click to vote
AIRWEB
2008
Springer
15 years 1 months ago
2008
Springer
Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them...
107
click to vote
CHI
2011
ACM
14 years 2 months ago
2011
ACM
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
101
click to vote
ECIR
2011
Springer
14 years 2 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
CIKM
2010
Springer
14 years 9 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...