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» Ranking Entities Using Web Search Query Logs
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ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
14 years 1 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
WWW
2008
ACM
14 years 8 months ago
Investigation of partial query proximity in web search
Proximity of query terms in a document is an important criterion in IR. However, no investigation has been made to determine the most useful term sequences for which proximity sho...
Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordo...
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 8 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
ICDE
2003
IEEE
114views Database» more  ICDE 2003»
14 years 9 months ago
Ranked Join Indices
A plethora of data sources contain data entities that could be ordered according to a variety of attributes associated with the entities. Such orderings result effectively in a ra...
Panayiotis Tsaparas, Themistoklis Palpanas, Yannis...
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
14 years 9 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas