Abstract
A prototype system was developed to test the applicability of a dualmethod information-filtering model for filtering e-mail messages: content-based filtering and sociological filtering implemented with user stereotypes. This paper reports the main results of experiments that were run to determine the effects of combining the two methods in various ways. A major outcome of the experiments is that the combination of both methods yields better results than using each method individually. The optimal combination of the two filtering methods is stereotype dependent.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Balabanovic M. and Shoham Y. (1997), ‘Fab: Content-Based Collaborative Recommendation System’. Comm. of the ACM, Vol. 40(3), pp. 66–72.
Jain A.K., Dubes R.C. (1988),Algorithms for Clustering Data. Prentice Hall Advanced Reference Series.
Malone T., Grant K., Turbak F., Brobst S. and Cohen M.: 1987, ‘Intelligent Information Sharing Systems’. Comm. of the ACM, Vol. 30(5), pp. 390–402.
McLeary H. (1994), ‘Filtered Information Services-A Revolutionary New Product or a New Marketing Strategy?’ Online, Vol. 4(18), pp. 33–42.
Morita M. and Shinoda Y. (1994), ‘Information Filtering Based on User Behavior Analysis and Best Match Retrieval’. In: Proceedings of the 17th Annual Intl. ACM SIGIR Conference for Research and Development, pp. 272–281.
Shapira B., Hanani U., Raveh A. and Shoval P. (1997), ‘Information Filtering: A New Two-Phase Model Using Stereotypic Profiling’. Journal of Intelligent Information Systems, Vol.8, pp. 155–165.
Shapira B., Shoval P.and Hanani U. (1997). ‘Stereotypes in Information Filtering Systems’. Information Processing & Management, Vol. 33(3), pp. 273–287.
Shardanand U. and Maes P. (1995), ‘Social Information Filtering Algorithm for Automating “Word of Mouth”’. Proceedings of the 1995 ACM Conference on Human Factors in Computing Systems, pp. 210–217.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shoval, P., Shapira, B., Hanani, U. (1999). Strategies for Filtering E-mail Messages Combining Content-Based and Sociological Filtering with User-Stereotypes. In: Pinter, R.Y., Tsur, S. (eds) Next Generation Information Technologies and Systems. NGITS 1999. Lecture Notes in Computer Science, vol 1649. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48521-X_4
Download citation
DOI: https://doi.org/10.1007/3-540-48521-X_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66225-9
Online ISBN: 978-3-540-48521-6
eBook Packages: Springer Book Archive