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» Term Ranking for Clustering Web Search Results
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IAT
2010
IEEE
13 years 2 months ago
Comparing Tag Clouds, Term Histograms, and Term Lists for Enhancing Personalized Web Search
Although static ranked lists remain the dominant Web search interface, they can limit the ability of Web searchers to find desired information when it is buried deep in the collect...
Orland Hoeber, Hanze Liu
WWW
2005
ACM
14 years 5 months ago
SemRank: ranking complex relationship search results on the semantic web
While the idea that querying mechanisms for complex relationships (otherwise known as Semantic Associations) should be integral to Semantic Web search technologies has recently ga...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
AIRWEB
2008
Springer
13 years 6 months ago
Cleaning search results using term distance features
The presence of Web spam in query results is one of the critical challenges facing search engines today. While search engines try to combat the impact of spam pages on their resul...
Josh Attenberg, Torsten Suel
WWW
2010
ACM
13 years 11 months ago
RankCompete: simultaneous ranking and clustering of web photos
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
MM
2006
ACM
217views Multimedia» more  MM 2006»
13 years 10 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...