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Abstract: As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction. The research described here focuses on the importance of a suitable generalization hierarchy and representation for learning profiles which are predictively accurate and comprehensible. In ... (Update)
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.... retrieval is the basis for the Rocchio classification algorithm which has become a standard baseline algorithm for text classification [8,15,34]. Its word vector approach involves describing classes with a vector of weights, where each weight indicates how important the...
.... been applied to user modeling problems mainly for acquiring models of individual users interacting with an information system (Bloedorn et al. 1997, Chiu, 1997 and Raskutti Beitz, 1996) In such situations, the use of the system by an individual is monitored and the collected...
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BibTeX entry: (Update)
Bloedorn, E., Mani, I., and MacMillan T.R., "Machine Learning of User Profiles: Representational Issues", Proceedings of the Thirteenth National Conference on Artificial Intelligence, Portland, OR, August, 1996. http://citeseer.ist.psu.edu/bloedorn96machine.html More
@inproceedings{ bloedorn96machine,
author = "Eric Bloedorn and Inderjeet Mani and T. Richard MacMillan",
title = "Machine Learning of User Profiles: Representational Issues",
booktitle = "{AAAI}/{IAAI}, Vol. 1",
pages = "433-438",
year = "1996",
url = "citeseer.ist.psu.edu/bloedorn96machine.html" }
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Representational Issues in Machine Learning of User Profiles - Bloedorn, Mani, MacMillan (1996) (Correct)
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