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» Agglomerative clustering of a search engine query log
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SIGIR
2012
ACM
11 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
AIRWEB
2008
Springer
13 years 8 months ago
Query-log mining for detecting spam
Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them...
Carlos Castillo, Claudio Corsi, Debora Donato, Pao...
EDBTW
2004
Springer
14 years 3 days ago
Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
Abstract. The Web has been rapidly “deepened” with the prevalence of databases online. On this “deep Web,” numerous sources are structured, providing schema-rich data– Th...
Bin He, Tao Tao, Kevin Chen-Chuan Chang
WWW
2011
ACM
13 years 1 months ago
Domain-independent entity extraction from web search query logs
Query logs of a Web search engine have been increasingly used as a vital source for data mining. This paper presents a study on largescale domain-independent entity extraction fro...
Alpa Jain, Marco Pennacchiotti
WWW
2007
ACM
14 years 7 months ago
Causal relation of queries from temporal logs
In this paper, we study a new problem of mining causal relation of queries in search engine query logs. Causal relation between two queries means event on one query is the causati...
Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, ...