2000 AutomatingTheConstrOfIntPortalsWithML

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Subject Headings: CORA Citation Search Engine, Research Paper Search Service, CORA Benchmark Task, Focused Crawler.

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Abstract

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.campsearch.com allows complex queries by age, location, cost and specialty over summer camps. This functionality is not possible with general, Web-wide search engines. Unfortunately these portals are difficult and time-consuming to maintain. This paper advocates the use of machine learning techniques to greatly automate the creation and maintenance of domain-specific Internet portals. We describe new research in reinforcement learning, information extraction and text classification that enables efficient spidering, the identification of informative text segments, and the population of topic hierarchies. Using these techniques, we have built a demonstration system: a portal for computer science research papers. It already contains over 50,000 papers and is publicly available at www.cora.justresearch.com. These techniques are widely applicable to portal creation in other domains.,


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2000 AutomatingTheConstrOfIntPortalsWithMLAndrew McCallum
Kamal Nigam
Jason Rennie
Kristie Seymore
Automating the Construction of Internet Portals with Machine LearningInformation Retrieval Taskhttp://www.cs.cmu.edu/~knigam/papers/cora-jnl.pdf10.1023/A:10099538149882000