Pal, S. K. ; Narayan, B. L. (2005) A Web surfer model incorporating topic continuity IEEE Transactions on Knowledge and Data Engineering, 17 (5). pp. 726-729. ISSN 1041-4347
Full text not available from this repository.
Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/TKDE.2005.69
Abstract
This paper describes a surfer model which incorporates information about topic continuity derived from the surfer's history. Therefore, unlike earlier models, it captures the interrelationship between categorization (context) and ranking of Web documents simultaneously. The model is mathematically formulated. A scalable and convergent iterative procedure is provided for its implementation. Its different characteristic features, as obtained from the joint probability matrix, and their significance in Web intelligence are mentioned. Experiments performed on Web pages obtained from WebBase confirm the superiority of the model.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 77698 |
| Deposited On: | 14 Jan 2012 06:07 |
| Last Modified: | 14 Jan 2012 06:07 |
Repository Staff Only: item control page
