Information Technology Reference
In-Depth Information
The user therefore has the possibility of creating a personal
playlist
and can later
listen to his favorite tracks. Thanks to this profile, the system can find one or more
users with common tastes in terms of music and thus recommend to each person
another person's or other people's playlist(s).
Another category of systems aims to facilitate the design of personalized ISs.
They generally appear in the form of an application ensuring the representation of
the user profile and the inference mechanisms for choosing which solution to
suggest. Independent of the browser used, BroadWay [TRO 99] is a system that
bases itself on user navigation to recommend links to a particular user, using a case-
based reasoning motor for this.
The
Belief, Goal and Plan Maintenance System
or BGP-MS [KOB 95],
[PHO 99] is a user modeling system that enables the goals, beliefs and knowledge of
the user to be taken into account. It functions according to different types of
inferences, from hypotheses based on an initial questionnaire, observed actions and
the knowledge of an ensemble of predefined subgroups. This system can be used in
a server with multiple users and applications.
The Eperson project [DIC 03] aims to provide a common open platform enabling
software agents to be able to assist the user, all the while preserving the
confidentiality of information about him. The system appears as a server providing
Web services for the management of user profiles. The user data is organized as an
ontology [CHA 99].
NetP 7 (www.tornago.com) is a system that enables prediction of the hobbies
and interests of users for electronic commerce. The prediction is made based on
inferences of data provided explicitly by the user and the data implicitly collected by
user queries and commands (purchase of products). This system can be used for web
applications, telephone call centers, e-mail, publicity catalogs, etc.
PassPort.Net [OPP 04] is a user profile server. The user joins the service, giving
personal data. These data are used by external applications (integrating their own
methods of personalization) to provide the user with personalized services
corresponding to his profile.
In the WebSphere suite (www.ibm.com), a software application allows the
detection of user trends and preferences. This application manages the content and
the structure of the commercial site by adapting them in relation to the client. It has
been used for the personalization of information on sites selling hardware and
software, for example.
