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» Using Reinforcement Learning to Spider the Web Efficiently
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ICML
1999
IEEE
14 years 5 months ago
Using Reinforcement Learning to Spider the Web Efficiently
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
Jason Rennie, Andrew McCallum
IR
2000
13 years 4 months ago
Automating the Construction of Internet Portals with Machine Learning
Domain-specific internet portals are growing in popularity because they gather content from the Web and organize it for easy access, retrieval and search. For example, www.campsear...
Andrew McCallum, Kamal Nigam, Jason Rennie, Kristi...
GCC
2005
Springer
13 years 10 months ago
Parallel Web Spiders for Cooperative Information Gathering
Web spider is a widely used approach to obtain information for search engines. As the size of the Web grows, it becomes a natural choice to parallelize the spider’s crawling proc...
Jiewen Luo, Zhongzhi Shi, Maoguang Wang, Wei Wang
ML
2000
ACM
150views Machine Learning» more  ML 2000»
13 years 4 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
DSS
2008
121views more  DSS 2008»
13 years 5 months ago
SpidersRUs: Creating specialized search engines in multiple languages
While small-scale search engines in specific domains and languages are increasingly used by Web users, most existing search engine development tools do not support the development...
Michael Chau, Jialun Qin, Yilu Zhou, Chunju Tseng,...