499 search results - page 6 / 100 » Search Engines that Learn from Implicit Feedback |
CIKM
2009
Springer
14 years 4 months ago
2009
Springer
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
WWW
2009
ACM
14 years 10 months ago
2009
ACM
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
ML
2006
ACM
14 years 3 months ago
2006
ACM
We present a new way to generate type-error messages in a polymorphic, implicitly, and strongly typed language (specifically Caml). Our method separates error-message generation ...
MM
2006
ACM
14 years 3 months ago
2006
ACM
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
CIKM
2007
Springer
14 years 3 months ago
2007
Springer
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...