Electronic Newspapers has become one sort of important communication medium with the rapid growth of audiences on Internet. In Taiwan, the majority of famous news media have their own Electronic Newspapers, which provide a large amount of online news. Though audiences can receive a mass of news, it is difficult for them to find the news in which they are really interested within limited time. Therefore, this current study focused on the research of the mechanism for filtering and recommending news based on the Use and Gratification Theory. The purposes were to develop a personalized news recommendation method for Electronic Newspapers and to examine the effect of the recommendation methods.
The results of the empirical study showed that the system with recommendation mechanism was superior to the one with none in both usage performance and overall satisfaction. In this study, there were two recommendation mechanisms. One of them is time-based mechanism which refers to derive the interest automatically by analyzing how much time the audiences spent on reading news, the other is feedback-based mechanism which refers to derive the interest by asking audiences explicitly. It was found that there were no significant differences between the two mechanisms in either usage performance or overall satisfaction. Therefore, the time-based mechanism is helpful for audiences in finding personal news.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0803100-165102 |
| Date | 03 August 2000 |
| Creators | Lai, Hung-Jen |
| Contributors | Tong-Chin Lin, Fong-Yuan Kao, Hung-Chi Chen, Ting-Peng Liang, Pin Shaw, Shiu-Chu Lee, Rei-Ming Tsai |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803100-165102 |
| Rights | off_campus_withheld, Copyright information available at source archive |
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