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» Learning User Clicks in Web Search
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SIGIR
2012
ACM
11 years 9 months ago
Mining query subtopics from search log data
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian...
WSDM
2009
ACM
163views Data Mining» more  WSDM 2009»
14 years 1 months ago
Tagging with Queries: How and Why?
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this wo...
Ioannis Antonellis, Hector Garcia-Molina, Jawed Ka...
RIAO
2007
13 years 8 months ago
Contextual Search Using Ontology-Based User Profiles
Search engines, generally, return results without any regard for the concepts in which the user is interested. In this paper, we present our approach to personalizing search engin...
Vishnu Challam, Susan Gauch, Aravind Chandramouli
COLCOM
2008
IEEE
14 years 1 months ago
Collaborative Search and User Privacy: How Can They Be Reconciled?
Abstract. Collaborative search engines (CSE) let users pool their resources and share their experiences when seeking information on the web. However, when shared, search terms and ...
Thorben Burghardt, Erik Buchmann, Klemens Böh...
KDD
2009
ACM
153views Data Mining» more  KDD 2009»
14 years 7 months ago
Predicting bounce rates in sponsored search advertisements
This paper explores an important and relatively unstudied quality measure of a sponsored search advertisement: bounce rate. The bounce rate of an ad can be informally defined as t...
D. Sculley, Robert G. Malkin, Sugato Basu, Roberto...