Building content clusters based on modelling page pairs
- We give a new view on building content clusters from page pair models. We measure the heuristic importance within every two pages by computing the distance of their accessed positions in usage sessions. We also compare our page pair models with the classical pair models used in information theories and natural language processing, and give different evaluation methods to build the reasonable content communities. And we finally interpret the advantages and disadvantages of our models from detailed experiment results
| Author details: | Christoph MeinelORCiDGND, Long Wang |
|---|---|
| URL: | http://www.springerlink.com/content/105633/ |
| DOI: | https://doi.org/10.1007/11610113_85 |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2006 |
| Publication year: | 2006 |
| Release date: | 2017/03/24 |
| Source: | Lecture Notes in Computer Science. - ISSN 0302. - 3841 (2006), S. 856 - 861 |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science |
| Peer review: | Referiert |
| Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik |
