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Abstract: 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 knowledge bases. This paper argues that the creation of efficient web spiders is best framed and solved by reinforcement learning, a branch of machine learning that concerns itself with optimal sequential decision making. (Update)
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BibTeX entry: (Update)
Jason Rennie and Andrew McCallum. Using reinforcement learning to spider the Web efficiently. In ICML-99, 1999. http://citeseer.ist.psu.edu/article/rennie99using.html More
@inproceedings{ rennie99using,
author = "Jason Rennie and Andrew Kachites McCallum",
title = "Using reinforcement learning to spider the {W}eb efficiently",
booktitle = "Proceedings of {ICML}-99, 16th International Conference on Machine Learning",
publisher = "Morgan Kaufmann Publishers, San Francisco, US",
address = "Bled, SL",
editor = "Ivan Bratko and Saso Dzeroski",
pages = "335--343",
year = "1999",
url = "citeseer.ist.psu.edu/article/rennie99using.html" }
Citations (may not include all citations):976 Machine Learning (context) - Mitchell - 1997 ACM DBLP
408 Princeton University Press (context) - Bellman - 1957
189 Webwatcher: A tour guide for the World Wide Web - Joachims, Freitag et al. - 1997
149 Learning to extract symbolic knowledge from the world wide w.. - Craven, DiPasquo et al. - 1998
140 A comparison of event models for naive Bayes text classifica.. - McCallum, Nigam - 1998
103 at forty: The independence assumption in information retriev.. (context) - Lewis, Bayes - 1998
81 Reinforcement learning: A survey (context) - Kaelbling, Littman et al. - 1996
40 ARACHNID: Adaptive retrieval agents choosing heuristic neigh.. - Menczer - 1997
36 cient crawling through URL ordering (context) - Cho, Garcia-Molina et al. - 1998
36 A machine learning architecture for optimizing web search en.. - Boyan, Freitag et al. - 1996
30 Statistical models for co-occurrence data - Hofmann, Puzicha - 1998
23 Building domain-specific search engines with machine learnin.. - McCallum, Nigam et al. - 1999
18 Improving text clasification by shrinkage in a hierarchy of .. (context) - McCallum, Rosenfeld et al. - 1998
8 Regression using classification algorithms (context) - Torgo, Gama - 1997 DBLP
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.ai.mit.edu/~jrennie/):
Building Domain-Specific Search Engines with Machine .. - McCallum, Nigam.. (1999) (Correct)
Using Reinforcement Learning to Spider the Web Efficiently - Rennie, McCallum (1999) (Correct)
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