499 search results - page 66 / 100 » Search Engines that Learn from Implicit Feedback |
112
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FQAS
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. The Internet has instigated a critical need for automated tools that facilitate integrating countless databases. Since non-technical end users are often the ultimate repo...
87
Voted
GVD
2004
15 years 17 days ago
2004
MIWeb realizes a mediator-based integration of heterogeneous metadata sources over the Web. Mediators are well known from database integration. They improve the quality of search ...
111
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CIKM
2006
Springer
15 years 2 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
106
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CIKM
2010
Springer
14 years 9 months ago
2010
Springer
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
105
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ICML
2002
IEEE
15 years 12 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...