| Summary: | 碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === Since the Information Supplier has to offer rapidly growing
amount of information and services, users encounter difficulties
in finding the desired data in the flood of information. How to
let users having a satisfied information service and an
easy-operating information system has become the problem
between users and Information Supplier. This thesis proposed a
self-directed learning method for on-line learning User
Preferences based on WWW and an adaptive personality information
service(APIS) architecture based on Intelligent Agent
Technology to construct an APIS system easily. Our main idea is
that without offering users preferred documents or information
directly, we let them making their own choice on an information
topic; the service system will then offering the sub topic
repeatedly which matching the user preferences. The key-point
of the learning method is to study the user-interested
information topics, showing on the most obvious position on the
screen in order for easy-clicking through adaptive personality
interface. In addition to user-satisfied information services,
the proposed learning method has implicit benefits that can
avoid wasting network resources and reducing network traffic.
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