2000 AutomatingTheConstrOfIntPortalsWithML
- (McCallum et al., 2000c) ⇒ Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore. (2000). “Automating the Construction of Internet Portals with Machine Learning.” In: Information Retrieval, 3(2). (doi:10.1023/A:1009953814988).
Subject Headings: CORA Citation Search Engine, Research Paper Search Service, CORA Benchmark Task, Focused Crawler.
Notes
Cited By
2000
- (McCallum et al., 2000b) ⇒ Andrew McCallum, Kamal Nigam, and Lyle H. Ungar. (2000). “Efficient Clustering of High-dimensional Data Sets with Application to Reference Matching.” In: Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2000). (doi:10.1145/347090.347123).
- (Diligenti & al) ⇒ Michelangelo Diligenti, Frans Coetzee, Steve Lawrence, C. Lee Giles, and Marco Gori. (2000). “Focused Crawling Using Context Graphs.” In: Proceedings of the 26th International Conference on very large data bases (VLDB 2000).
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Keywords
- spidering, crawling, reinforcement learning, information extraction, hidden Markov models, text classification, naive Bayes, expectation-maximization, unlabeled data.
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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.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2000 AutomatingTheConstrOfIntPortalsWithML | Kamal Nigam Jason Rennie Kristie Seymore Andrew McCallum | Automating the Construction of Internet Portals with Machine Learning | Information Retrieval (IR) Task | http://www.cs.cmu.edu/~knigam/papers/cora-jnl.pdf | 10.1023/A:1009953814988 | 2000 |