499 search results - page 27 / 100 » Search Engines that Learn from Implicit Feedback |
ECAI
2000
Springer
15 years 3 months ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
ECIR
2010
Springer
14 years 11 months ago
2010
Springer
Web search engines are composed of a large set of search nodes and a broker machine that feeds them with queries. A location cache keeps minimal information in the broker to regist...
COCOON
2005
Springer
15 years 4 months ago
2005
Springer
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
UIST
2006
ACM
15 years 5 months ago
2006
ACM
Current paper-based interfaces such as PapierCraft, provide very little feedback and this limits the scope of possible interactions. So far, there has been little systematic explo...
75
Voted
AAAI
2007
15 years 1 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...