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» Search Engines that Learn from Implicit Feedback
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ECIR
2006
Springer
15 years 16 days ago
Structural Feedback for Keyword-Based XML Retrieval
Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provi...
Ralf Schenkel, Martin Theobald
80
Voted
WWW
2004
ACM
15 years 11 months ago
Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
86
Voted
CIKM
2006
Springer
15 years 2 months ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan
SIGIR
2003
ACM
15 years 4 months ago
Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute userā...
Rinat Khoussainov, Nicholas Kushmerick
WEBI
2009
Springer
15 years 5 months ago
The Geographical Life of Search
This article describes a geographical study on the usage of a search engine, focusing on the traffic details at the level of countries and continents. The main objective is to un...
Ricardo A. Baeza-Yates, Christian Middleton, Carlo...