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» Space-Efficient Algorithms for Document Retrieval
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 19 days ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
MSR
2006
ACM
15 years 11 months ago
Detecting similar Java classes using tree algorithms
Similarity analysis of source code is helpful during development to provide, for instance, better support for code reuse. Consider a development environment that analyzes code whi...
Tobias Sager, Abraham Bernstein, Martin Pinzger, C...
WWW
2010
ACM
16 years 2 days ago
The anatomy of an ad: structured indexing and retrieval for sponsored search
The core task of sponsored search is to retrieve relevant ads for the user’s query. Ads can be retrieved either by exact match, when their bid term is identical to the query, or...
Michael Bendersky, Evgeniy Gabrilovich, Vanja Josi...
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
15 years 11 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
SIGIR
2010
ACM
15 years 9 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai