Another look at automatic text-retrieval systems
Communications of the ACM
Agents that reduce work and information overload
Communications of the ACM
A graphical, self-organizing approach to classifying electronic meeting output
Journal of the American Society for Information Science
Self-organizing maps
An intelligent personal spider (agent) for dynamic Internet/intranet searching
Decision Support Systems - Special issue: intranets and intranetworking
Internet browsing and searching: user evaluations of category map and concept space techniques
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
CEO and CIO perspectives on competitive intelligence
Communications of the ACM
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Comparing noun phrasing techniques for use with medical digital library tools
Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2
Document clustering for electronic meetings: an experimental comparison of two techniques
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
Multidimensional scaling for group memory visualization
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
The Internet Age of Competitive Intelligence
The Internet Age of Competitive Intelligence
Verifying the proximity and size hypothesis for self-organizing maps
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Design and evaluation of a multi-agent collaborative Web mining system
Decision Support Systems - Web retrieval and mining
Teaching key topics in computer science and information systems through a web search engine project
Journal on Educational Resources in Computing (JERIC)
Learning to crawl: Comparing classification schemes
ACM Transactions on Information Systems (TOIS)
Link Contexts in Classifier-Guided Topical Crawlers
IEEE Transactions on Knowledge and Data Engineering
Building a scientific knowledge web portal: the NanoPort experience
Decision Support Systems
Journal of the American Society for Information Science and Technology
Expert Systems with Applications: An International Journal
Tracking and modelling information diffusion across interactive online media
International Journal of Metadata, Semantics and Ontologies
SpidersRUs: Creating specialized search engines in multiple languages
Decision Support Systems
CRAWLING THE CONSTRUCTION WEB-A MACHINE-LEARNING APPROACH WITHOUT NEGATIVE EXAMPLES
Applied Artificial Intelligence
Characteristics of Consumer Search On-Line: How Much Do We Search?
International Journal of Electronic Commerce
Designing the user interface and functions of a search engine development tool
Decision Support Systems
An ontology-based mining system for competitive intelligence in neuroscience
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Visualizing web search results using glyphs: Design and evaluation of a flower metaphor
ACM Transactions on Management Information Systems (TMIS)
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Competitive Intelligence (CI) aims to monitor a firm's external environment for information relevant to its decision-making process. As an excellent information source, the Internet provides significant opportunities for CI professionals as well as the problem of information overload. Internet search engines have been widely used to facilitate information search on the Internet. However, many problems hinder their effective use in CI research. In this paper, we introduce the Competitive Intelligence Spider, or CI Spider, designed to address some of the problems associated with using Internet search engines in the context of competitive intelligence. CI Spider performs real-time collection of Web pages from sites specified by the user and applies indexing and categorization analysis on the documents collected, thus providing the user with an up-to-date, comprehensive view of the Web sites of user interest. In this paper, we report on the design of the CI Spider system and on a user study of CI Spider, which compares CI Spider with two other alternative focused information gathering methods: Lycos search constrained by Internet domain, and manual within-site browsing and searching. Our study indicates that CI Spider has better precision and recall rate than Lycos. CI Spider also outperforms both Lycos and within-site browsing and searching with respect to ease of use. We conclude that there exists strong evidence in support of the potentially significant value of applying the CI Spider approach in CI applications.