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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 2 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
WWW
2011
ACM
14 years 9 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
2002
ACM
16 years 2 months ago
Probabilistic question answering on the web
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that...
Dragomir R. Radev, Weiguo Fan, Hong Qi, Harris Wu,...
ACL
2010
14 years 12 months ago
Wikipedia as Sense Inventory to Improve Diversity in Web Search Results
Is it possible to use sense inventories to improve Web search results diversity for one word queries? To answer this question, we focus on two broad-coverage lexical resources of ...
Celina Santamaría, Julio Gonzalo, Javier Ar...
CIKM
2011
Springer
14 years 1 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...