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» Search Engines: Information Retrieval in Practice
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WWW
2004
ACM
15 years 10 months ago
Clustering e-commerce search engines
In this paper, we sketch a method for clustering e-commerce search engines by the type of products/services they sell. This method utilizes the special features of interface pages...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
76
Voted
MM
2006
ACM
134views Multimedia» more  MM 2006»
15 years 3 months ago
The mediamill large.lexicon concept suggestion engine
In this technical demonstration we show the current version of the MediaMill system, a search engine that facilitates access to news video archives at a semantic level. The core o...
Marcel Worring, Cees G. M. Snoek, Bouke Huurnink, ...
CIKM
1999
Springer
15 years 1 months ago
A Unified Environment for Fusion of Information Retrieval Approaches
Prior work has shown that combining results of various retrieval approaches and query representations can improve search effectiveness. Today, many meta-search engines exist which...
M. Catherine McCabe, Abdur Chowdhury, David A. Gro...
87
Voted
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
15 years 10 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
ISVC
2007
Springer
15 years 3 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...