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WWW
2006
ACM
14 years 9 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
14 years 3 months ago
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
—This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
VLDB
1997
ACM
97views Database» more  VLDB 1997»
14 years 22 days ago
The Complexity of Transformation-Based Join Enumeration
Query optimizers that explore a search space exhaustively using transformation rules usually apply all possible rules on each alternative, and stop when no new information is prod...
Arjan Pellenkoft, César A. Galindo-Legaria,...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 9 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
ICDM
2008
IEEE
186views Data Mining» more  ICDM 2008»
14 years 3 months ago
xCrawl: A High-Recall Crawling Method for Web Mining
Web Mining Systems exploit the redundancy of data published on the Web to automatically extract information from existing web documents. The first step in the Information Extract...
Kostyantyn M. Shchekotykhin, Dietmar Jannach, Gerh...