| Author: | Lai, Andy Chun-fai |
| Title: | A personalized WWW agent |
| Other Title: | Personalized World Wide Web agent |
| Degree: | M.Sc. |
| Year: | 1998 |
| Subject: | World Wide Web Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Department of Computing |
| Pages: | 78 leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | Information Retrieval has long been an interesting subject that leads to many studies. In general, its objective is to search for better and faster algorithms to assist information searching. It is commonly agree that, the efficiency of information gathering will result with a better decision making and quality of life. Day after day, information are being posted in the World Wide Web. In such a huge amount of un-categorised raw information, tools to help gathering relevant information like search engines and Web robots are being developed. However, a single method may not be enough to serve all kinds of people. Here, it has left some room for us to enhance the technologies and make the Web more useful. In this paper, we present our design of a PWA (Personalized WWW Agent) to provide information searching for Internet users via the WWW. The system can be personalized by letting the users to choose their own methods to analyse Internet documents found. A neural network is used to help in predicting documents most likely will meet the users' needs. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b14259497.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.46 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/769