Title :
An ontology-based personalized description model for user´s service request
Author :
Kun Yang ; Weiqun Cui ; Junheng Teng ; Chenzhe Hang
Author_Institution :
Chinese Nat. Inst. of Metrol., Beijing, China
Abstract :
A comprehensive and accurate user service request description is vital to the success of service discovery. This paper proposes a personalized description model for user´s service request, which can update user´s current needs based on current context. The service recommendation method based on this model is also introduced in detail, and the experiments illustrate the effectiveness of the model for the service discovery.
Keywords :
Web services; ontologies (artificial intelligence); recommender systems; Web service; ontology-based personalized description model; service discovery; service recommendation method; user service request description; Abstracts; Filtering; Reliability; Three-dimensional displays; Description model; Ontology; Personalized; Service request;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890504
