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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 18 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...
189
Voted
SIGCOMM
2012
ACM
13 years 7 months ago
HyperDex: a distributed, searchable key-value store
Distributed key-value stores are now a standard component of high-performance web services and cloud computing applications. While key-value stores offer significant performance...
Robert Escriva, Bernard Wong, Emin Gün Sirer
175
Voted
SIGMOD
2012
ACM
209views Database» more  SIGMOD 2012»
13 years 7 months ago
Locality-sensitive hashing scheme based on dynamic collision counting
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
Junhao Gan, Jianlin Feng, Qiong Fang, Wilfred Ng
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
13 years 7 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
SIGIR
2012
ACM
13 years 7 months ago
Improving searcher models using mouse cursor activity
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...