499 search results - page 21 / 100 » Search Engines that Learn from Implicit Feedback |
EEE
2005
IEEE
15 years 4 months ago
2005
IEEE
Generic web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique1 that perf...
CIKM
2007
Springer
15 years 5 months ago
2007
Springer
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
VLDB
2007
ACM
15 years 5 months ago
2007
ACM
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
KDD
2002
ACM
15 years 11 months ago
2002
ACM
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
MIR
2004
ACM
15 years 4 months ago
2004
ACM
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...