Abstract
Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].
| Original language | English (US) |
|---|---|
| Pages (from-to) | 413-414 |
| Number of pages | 2 |
| Journal | SIGIR Forum (ACM Special Interest Group on Information Retrieval) |
| Issue number | SPEC. ISS. |
| State | Published - Dec 1 2003 |
| Event | Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada Duration: Jul 28 2003 → Aug 1 2003 |
All Science Journal Classification (ASJC) codes
- Management Information Systems
- Hardware and Architecture