A New Ontology-Supported and Hybrid Recommending Information System for Scholars

A new ontology-supported and hybrid recommending information system for scholars was proposed. Not only can it fast integrate specific domain documents, but also it can extract important information from them through the hybrid filtering technology to take information integration and recommendation ranking. The experiment outcomes proved that the reliability and validity measurements of the whole system performance can achieve the high-level outcomes of information recommendation. Furthermore, this paper also discussed and investigated the advantages and shortcomings of the construction of a recommendation system with different approaches and accordingly provided the design philosophy of customized services for recommendation systems. Keywords- Ontology, Webpage Crawlers, Webpage Classifiers, Information Extractor, Information Recommender.

• Type: Journal
• Year: 2010
• Where: NBIS
• Authors: Sheng-Yuan Yang, Chun-Liang Hsu
• Keywords: Computer Networks, Hybrid Filtering Technology, Hybrid Recommending Information, Information, NBIS 2010