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» Descriptor Learning for Efficient Retrieval
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136
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SIGIR
2010
ACM
15 years 7 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
176
Voted
SIGIR
2011
ACM
14 years 6 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
164
Voted
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 11 months 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...
145
Voted
WWW
2005
ACM
16 years 4 months ago
A uniform approach to accelerated PageRank computation
In this note we consider a simple reformulation of the traditional power iteration algorithm for computing the stationary distribution of a Markov chain. Rather than communicate t...
Frank McSherry
209
Voted
SIGMOD
2009
ACM
133views Database» more  SIGMOD 2009»
16 years 3 months ago
Hierarchical result views for keyword queries over relational databases
Enabling keyword queries over relational databases (KQDB) benefits a large population of users who have difficulty in understanding the database schema or using SQLs. However, sin...
Shiyuan Wang, Jun'ichi Tatemura, Arsany Sawires, O...