A Machine Learning Approach to Building Domain-Specific Search Engines

by: Andrew Mccallum, Kamal Nigam, Jason Rennie, Kristie Seymore

(1999)

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Abstract

Domain-specific search engines are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, Web-wide search engines. Unfortunately, they are also difficult and time-consuming to maintain. This paper proposes the use of machine learning techniques to greatly automate the creation and maintenance of domain-specific search engines. We describe new research in reinforcement learning, text classification and information extraction that enables ...

@inproceedings{citeulike:1426070, abstract = {Domain-specific search engines are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, Web-wide search engines. Unfortunately, they are also difficult and time-consuming to maintain. This paper proposes the use of machine learning techniques to greatly automate the creation and maintenance of domain-specific search engines. We describe new research in reinforcement learning, text classification and information extraction that enables ...}, author = {Mccallum, Andrew and Nigam, Kamal and Rennie, Jason and Seymore, Kristie }, booktitle = {The Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99)}, citeulike-article-id = {1426070}, keywords = {chain, machine-learning, markov, ml, search}, posted-at = {2007-06-30 23:31:22}, priority = {2}, title = {A Machine Learning Approach to Building Domain-Specific Search Engines}, url = {http://citeseer.ist.psu.edu/mccallum99machine.html}, year = {1999} }

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TY - CONF ID - citeulike:1426070 L3 - citeulike-article-id:1426070 TI - A Machine Learning Approach to Building Domain-Specific Search Engines T2 - The Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99) N2 - Domain-specific search engines are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, Web-wide search engines. Unfortunately, they are also difficult and time-consuming to maintain. This paper proposes the use of machine learning techniques to greatly automate the creation and maintenance of domain-specific search engines. We describe new research in reinforcement learning, text classification and information extraction that enables ... KW - chain KW - machine-learning KW - markov KW - ml KW - search AU - Mccallum, Andrew AU - Nigam, Kamal AU - Rennie, Jason AU - Seymore, Kristie PY - 1999/// UR - http://citeseer.ist.psu.edu/mccallum99machine.html ER -

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