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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lee, Wei Po Lu, Cheng Che |
| Copyright Year | 2003 |
| Abstract | In addition to voice transmission over mobile networks, the demand of data communication has been increasing. To deploy data-oriented applications for mobile terminals, the wireless application protocol (WAP) has provided a promising solution. However, as in the World Wide Web (WWW), the increasing information leads to the problem of information overload. One way to overcome such a problem is to build intelligent recommender systems to provide customised information services. By analyzing the information collected from the user, a customised recommender system is able to reason his personal preferences and to build a model of predictions. In this way, only the information predicted as user-interested can reach the end user. This paper presents a multi-agent framework in which a decision tree-based approach is employed to learn a user’s preferences. To assess the proposed framework, a mobile phone simulator is used to represent a mobile environment and a series of experiments are conducted. The experimental studies have concentrated on how to recommend appropriate information to the individual user, and on how the system can adapt to a user’s most recent preferences. The results and analysis show that based on our framework the WAP-based customised information services can be successfully performed. |
| Starting Page | 321 |
| Ending Page | 330 |
| Page Count | 10 |
| File Format | |
| ISSN | 16174909 |
| Journal | Personal Technologies |
| Volume Number | 7 |
| Issue Number | 6 |
| e-ISSN | 16174917 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2003-11-05 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Customisation Machine learning Mobile information services Software agents WAP devices |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture |
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