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» Learning User Clicks in Web Search
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WWW
2008
ACM
14 years 7 months ago
Determining user's interest in real time
Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's curr...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
CIKM
2008
Springer
13 years 8 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
COLING
2002
13 years 6 months ago
Robust Interpretation of User Requests for Text Retrieval in a Multimodal Environment
We describe a parser for robust and flexible interpretation of user utterances in a multi-modal system for web search in newspaper databases. Users can speak or type, and they can...
Alexandra Klein, Estela Puig-Waldmüller, Hara...
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 1 months ago
Integration of news content into web results
Aggregated search refers to the integration of content from specialized corpora or verticals into web search results. Aggregation improves search when the user has vertical intent...
Fernando Diaz
WEBI
2010
Springer
13 years 4 months ago
The Effects of Query Bursts on Web Search
A query burst is a period of heightened interest of users on a topic which yields a higher frequency of the search queries related to it. In this paper we examine the behavior of s...
Ilija Subasic, Carlos Castillo