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» Optimizing search engines using clickthrough data
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WSDM
2009
ACM
163views Data Mining» more  WSDM 2009»
14 years 2 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...
COLING
2010
13 years 2 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
INTR
2007
120views more  INTR 2007»
13 years 7 months ago
Analysing Google rankings through search engine optimization data
Purpose – The purpose of this paper is to identify the most popular techniques used to rank a web page highly in Google. Design/methodology/approach – The paper presents the r...
Michael P. Evans
CIKM
2010
Springer
13 years 6 months ago
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Jianfeng Gao, Xiaodong He, Jian-Yun Nie