Chau, M., Chen, H., and Zeng, D. (2001). Personalized Spiders for Web Search and Analysis. Proceedings of the 1st Joint Conference on Digital Libraries, Roanoke, Virginia, June 2001, pp. 79-87. Home/Search Document Details and Download
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Chau, M., Chen, H., and Zeng, D. (2001). Personalized Spiders for Web Search and Analysis. Proceedings of the 1st Joint Conference on Digital Libraries, Roanoke, Virginia, June 2001, pp. 79-87.
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Chau, M., Zeng, D., and Chen, H.: Personalized Spiders for Web Search and Analysis. In Proceedings of the 1st ACM-IEEE Joint Conference on Digital Libraries, Roanoke, Virginia, USA, Jun 2001, pp. 79-87.
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....map is displayed through the User Interface and the user can view the documents in each region by clicking on it. 4 A CLIENT SIDE, META SEARCH AGENT In our second approach, we implemented a client side search agent called NanoSpider, based on the MetaSpider system developed in previous research [5, 7]. MetaSpider is a client side search tool built in Microsoft Visual J 6.0, using a combination of Java Classes, Windows Foundation Classes, and Dynamic Link Libraries (DLL) It connects to 6 general purpose search engines, and processes the combined search results using Arizona Noun Phraser and ....
Chau, M., Zeng, D., and Chen, H. Personalized Spiders for Web Search and Analysis. In Proceedings of the First ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'01), Roanoke, VA, USA, June 2001.
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....seconds, postretrieval analysis may take much longer, from several seconds up to a few minutes. Also, more computation, time, and memory are often required. These limitations may be severe, especially for Web based search engines that have to handle thousands to millions of search queries per day [6]. 2.3. Collaborative information retrieval and collaborative filtering In order to alleviate the information overload problem that has resulted from the overwhelming volume of available Internet resources, collaborative information retrieval techniques have been proposed and studied in the ....
....proven effective for Web searching, very few systems perform it. For commercial Web search engines, this kind of analysis can be prohibitively expensive from a computational viewpoint. Recent research prototypes are starting to incorporate such analysis capability into client side Web computing [6]. Second, for systems that do perform post retrieval analysis, the analysis is based entirely on individual searches. In these systems, search sessions are not shared by the users. Search strategies, which may have taken a significant amount of time and effort to formulate and test, are lost when ....
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M. Chau, D. Zeng, H. Chen, Personalized spiders for web search and analysis, Proceedings of the First ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'01), Roanoke, VA, Jun 2001.
Panorama: Extending Digital Libraries with Topical.. - Pant.. (Correct)
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M. Chau, D. Zeng, and H. Chen. Personalized spiders for Web search and analysis. In Proc. 1st ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2001.
Crawling on the World Wide Web - Wang, Fox (Correct)
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Michael Chau, Daniel Zeng, Hsinchun Chen. Personalized Spiders for Web Search and Analysis, JCDL '01, June 24-28, 2001, Roanoke, Virginia, USA
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Chau M., Zeng D, and Chen H. Personalized spiders for web Search and Analysis.
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