It is a necessary and urgent task to realize the archives intelligent service based on collaborative filtering. In this paper,based on collaborative filtering,an archives intelligent service implementation model is proposed for alleviating users’pain-point problem. This model implements the study-purpose intelligent service by using expert opinions collaborative filtering,implements the affair-purpose archives intelligent service by “virtual user-affair type”matrix space calculations,and implements the diverse-name retrieval intelligent service by“archives resource-retrieval keywords”matrix space calculations. In practical application,these conceptual design models can be instantiated according to the service scene to realize archives intelligent service.
Wei TIAN, Guan JIANG. Research on the Implementation Mechanism of Archives Intelligent Service Based on Collaborative Filtering. Archives Science Study, 2019, 33(6): 41-46.
Reim Doumat,Eld Egyed-Zsigmond,Jean-Marie Pinon.User Trace-Based Recommendation System for a Digital Archive. Springer Berlin Heidelberg,2010,6176:360-374.