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A personalized information dissemination system based on how-net

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Abstract

The information dissemination model is becoming increasingly important in wide-area information systems. In this model, a user subscribes to an information dissemination service by submitting profiles that describe, his interests. There have been several simple kinds of information dissemination services on the Internet such as mailing list, but the problem is that it provides a crude granularity of interest matching. A user whose information need does not exactly match certain lists will either receive too many irrelevant or too few relevant messages. This paper presents a personalized information dissemination model based on How-Net, which uses a Concept Network-Views (CN-V) model to support information filtering, user’s interests modeling and information recommendation. A Concept Network is constructed upon the user’s profiles and the content of documents, which describes concepts and their relations in the content and assigns different weights to these concepts. Usually the Concept Network is not well arranged, from which it is hard to find some useful relations, so several views from are extracted it to represent, the important relations explicitly.

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References

  1. Alexandros Moukas. Amalthaea: Information discovery and filtering using a multiagent evolving ecosystem. http://www.mit.edu, 1996.

  2. Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant. Discovering trends in text databases.American Association for Artificial Intelligence, 1997.

  3. Zhang Lei, Du Xiaoyong, Wang Shan. FAIRY: Personalized information, dissemination system based on How-Net. InProceedings of the Third International Symposium on Cooperative Database Systems for Advanced Applications (CODAS’2001), April 23–24, 2001, pp.131–134.

  4. Tak W Yan, Hector Garcia-Molina. SIFT — A tool for wide-area information dissemination. InProceedings of 1995 USENIX Technical Conference, 1995, pp.177–186.

  5. Dong Zhendong, Dong Qiang. How-Net. http://www.keenage.com, 2000.

  6. Zhou Qiang, Feng Yansong. Building a relation network representation for How-Net. http://www.keenage.com, 2000.

  7. Peter W Foltz, Susan T Dumais. Personalized information delivery: An, analysis of information filtering methods.Communications of the ACM, 1992, 35(12): 51–60.

  8. Tak W Yan, Hector Garcia-Molina. Duplicate removal in information dissemination. InProc. VLDB Conference, 1995.

  9. Lewis D D, Gale W A. A sequential algorithm for training text classifiers. InSIGIR’94, 1994, pp.3–12.

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Authors

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Correspondence to Zhang Lei.

Additional information

This work is supported by the National Natural Science Foundation of China under Grant No.69973050.

ZHANG Lei is a Ph.D. candidate at the Institute of Computing Technology Chinese Academy of Sciences. He obtained his M.S. degree from Shanghai Maritime University in 1999. His research interests include intelligent information retrieval.

DU Xiaoyong is a professor of the School of Information, Renmin University of China. His research interests include database systems, data warehouse and data mining, and information systems.

WANG Shan is a professor and dean of the School of Information, Renmin University of China. She obtained her M.S. degree from Renmin University of China in 1982. Her research interests include database systems, data warehouse and data mining and information systems.

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Zhang, L., Du, X. & Wang, S. A personalized information dissemination system based on how-net. J. Compt. Sci. & Technol. 17, 901–907 (2002). https://doi.org/10.1007/BF02960782

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