Improve web search using image snippets

Authors:
Xiao-Bing Xue;Zhi-Hua Zhou;Zhongfei Zhang
Affiliations:
National Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;National Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;Department of Computer Science, SUNY at Binghamton, Binghamton, NY
Venue:
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Year:
2006

Citing 11
Cited 3

Term-weighting approaches in automatic text retrieval

Information Processing and Management: an International Journal
On term selection for query expansion

Journal of Documentation
The anatomy of a large-scale hypertextual Web search engine

WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment

Journal of the ACM (JACM)
Using thumbnails to search the Web

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WebSeer: An Image Search Engine for the World Wide Web

WebSeer: An Image Search Engine for the World Wide Web
Learning block importance models for web pages

Proceedings of the 13th international conference on World Wide Web
Block-based web search

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical clustering of WWW image search results using visual, textual and link information

Proceedings of the 12th annual ACM international conference on Multimedia
The infocious web search engine: improving web searching through linguistic analysis

WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Word sense disambiguation with pictures

Artificial Intelligence - Special volume on connecting language to the world

Improving Web search using image snippets

ACM Transactions on Internet Technology (TOIT)
Good abandonment in mobile and PC internet search

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Exploiting image contents in web search

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological backtracking. The second is a recursive method based on assuming that the ...