Machine Learning based User Modeling for WWW Search
- The World Wide Web (Www) offers a huge number of documents which deal with information concerning nearly any topic. Thus, search engines and meta search engines currently are the key to finding information. Search engines with crawler based indexes vary in recall and offer a very bad precision. Meta search engines try to overcome these lacks by simple methods for information extraction, information filtering and integration of heterogenous information resources. Only few search engines employ intelligent techniques in order to increase precision.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Martin E. Müller |
| Parent Title (English): | Seventh International Conference on User Modeling, Banff, Canada, 20-24 June 1999 |
| Publication year: | 1999 |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2017/01/13 |
