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» Term Ranking for Clustering Web Search Results
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AINA
2007
IEEE
14 years 3 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
JUCS
2008
194views more  JUCS 2008»
13 years 8 months ago
An Application of Meta Search Agent System Based on Semantized Tags for Enhanced Web Searching
: Web searching techniques have been investigated and implemented in many aspects. Particularly, in case of personalization, more important issue is how to manipulate the results r...
Chonggun Kim, JaeYoun Jung, Hyeon-Cheol Zin, Jason...
NIPS
2007
13 years 10 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
WWW
2009
ACM
14 years 9 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
IC
2003
13 years 10 months ago
An Analysis of Web Documents Retrieved and Viewed
The placement of Websites in ranked retrieval and the viewing patterns of Web search engine users is a crucial issue for Web site owners and Web search engines. However, little la...
Bernard J. Jansen, Amanda Spink