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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Menasalvas, E. Pardo, B. Millan, S. Hochsztain, E. Pena, J.M. |
| Copyright Year | 2003 |
| Description | Author affiliation: Sch. of Comput. Sci., Tech. Univ. of Madrid, Spain (Menasalvas, E.; Pardo, B.) |
| Abstract | The amazing evolution of e-commerce and the fierce competitive environment it has produced have encouraged commercial firms to apply intelligent methods to take advantage of competitors by gathering and analyzing information collected from consumer Web sessions. Knowledge about user objectives and session goals can be discovered from the information collected regarding user activities, as tracked by Web clicks. Most current approaches to customer behaviour analysis study the user session by examining only Web page accesses. To find out about navigators behaviour is crucial to Web sites sponsors attempting to evaluate the performance of their sites. Nevertheless, knowing the current navigation patterns is not always enough. Very often it is also necessary to measure sessions value according to business goals perspectives. We present two different measures to include business goals inside click stream analysis. Each of the alternatives is discussed and evaluated in terms of how company's objectives and expectations are taken into account as well as how this approach could be achieved. |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Computational Intelligence (TCCI) Web Intelligence Consortium (WIC) |
| Starting Page | 562 |
| Ending Page | 565 |
| File Size | 238539 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769519326 |
| DOI | 10.1109/WI.2003.1241268 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-10-13 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Navigation Web pages Companies Competitive intelligence Web sites Electronic commerce Web server Business Information analysis |
| Content Type | Text |
| Resource Type | Article |
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