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» Clustering e-commerce search engines
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MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 23 days ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
WEBI
2005
Springer
14 years 1 months ago
Metadata Propagation in the Web Using Co-Citations
Given the large heterogeneity of the World Wide Web, using metadata on the search engines side seems to be a useful track for information retrieval. Though, because a manual quali...
Camille Prime-Claverie, Michel Beigbeder, Thierry ...
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 11 months ago
Clustering the heap in multi-threaded applications for improved garbage collection
Garbage collection can be a performance bottleneck in large distributed, multi-threaded applications. Applications may produce millions of objects during their lifetimes and may i...
Myra B. Cohen, Shiu Beng Kooi, Witawas Srisa-an
KDD
2008
ACM
176views Data Mining» more  KDD 2008»
14 years 8 months ago
Context-aware query suggestion by mining click-through and session data
Query suggestion plays an important role in improving the usability of search engines. Although some recently proposed methods can make meaningful query suggestions by mining quer...
Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen L...
WWW
2004
ACM
14 years 8 months ago
Similarity spreading: a unified framework for similarity calculation of interrelated objects
In many Web search applications, similarities between objects of one type (say, queries) can be affected by the similarities between their interrelated objects of another type (sa...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...