Title :
A New Ontology-Supported and Hybrid Recommending Information System for Scholars
Author :
Yang, Sheng-yuan ; Hsu, Chun-liang
Author_Institution :
Dept. of Comput. & Commun. Eng., St. John´´s Univ., Taipei, Taiwan
Abstract :
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 :
information filtering; ontologies (artificial intelligence); recommender systems; domain documents; hybrid filtering technology; hybrid recommending information system; information integration; information recommendation; ontology-supported information system; recommendation ranking; scholars; system performance; Crawlers; Data mining; Databases; Filtering; Ontologies; Reliability; Information Extractor; Information Recommender; Ontology; Webpage Classifiers; Webpage Crawlers;
Conference_Titel :
Network-Based Information Systems (NBiS), 2010 13th International Conference on
Conference_Location :
Takayama
Print_ISBN :
978-1-4244-8053-1
Electronic_ISBN :
2157-0418
DOI :
10.1109/NBiS.2010.27
