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ICML
1999
IEEE
16 years 3 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
WWW
2005
ACM
16 years 3 months ago
METEOR: metadata and instance extraction from object referral lists on the web
The Web has established itself as the largest public data repository ever available. Even though the vast majority of information on the Web is formatted to be easily readable by ...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...
114
Voted
WWW
2003
ACM
16 years 3 months ago
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
This paper describes Seeker, a platform for large-scale text analytics, and SemTag, an application written on the platform to perform automated semantic tagging of large corpora. ...
Stephen Dill, Nadav Eiron, David Gibson, Daniel Gr...
PAKDD
2009
ACM
116views Data Mining» more  PAKDD 2009»
15 years 9 months ago
Scalable Web Mining with Newistic
Abstract. Newistic is a web mining platform that collects and analyses documents crawled from the Internet. Although it currently processes news articles, it can be easily adapted ...
Ovidiu Dan, Horatiu Mocian
113
Voted
CIKM
2009
Springer
15 years 9 months ago
Web search result summarization: title selection algorithms and user satisfaction
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
Tapas Kanungo, Nadia Ghamrawi, Ki Yuen Kim, Lawren...