NDLI: Electronic commerce software agents: the featured-based filtering approach

Content Provider	IEEE Xplore Digital Library
Author	Rabelo, L.C.
Copyright Year	2002
Description	Author affiliation: Dept. of Ind. Eng. & Manage. Syst., Univ. of Central Florida, Orlando, FL, USA (Rabelo, L.C.)
Abstract	Software agents can change the nature of interactions on the Internet: from simple access to large databases, to dynamic and personalized information and advice sources. This approach becomes more important when product features and attributes are complex and qualitative as well as when the opportunities for differentiation, customization, and tailoring to individual preferences increase. In order to implement a software agent approach as an intelligent recommendation system, these agents have to be intelligent enough to learn their users' criteria and team how to aggregate information from different mediums and how to help reinforce this information using these mediums. In this paper, we describe several algorithms, which can be appropriate to be the center of such scheme, including supervised learning neural networks and support vector machines.
Starting Page	255
Ending Page	260
File Size	402686
Page Count	6
File Format	PDF
ISBN	1889335185
DOI	10.1109/WAC.2002.1049450
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Electronic commerce Software agents Intelligent agent Information filtering Information filters Internet Spatial databases Intelligent systems Aggregates Supervised learning
Content Type	Text
Resource Type	Article

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