Title :
Design of Multi-mode E-commerce Recommendation System
Author :
Qiu, Zhao ; Chen, Mingrui ; Huang, Jun
Author_Institution :
Coll. of Inf. Sci. & Technol., Univ. of Hainan, Haikou, China
Abstract :
At present, most e-commerce recommendation systems act only as just a single tool and provide a single recommendation model. However, due to the complexity of e-commerce system itself, different occasions and customers of different identities require different types of recommendation services. In the paper, we study the architecture of complex e-commerce which can collect multiple types of data, use a variety of recommendation algorithms order to meet the needs of different types of recommendation.
Keywords :
electronic commerce; recommender systems; e-commerce architecture; multimode e-commerce recommendation system; recommendation algorithm; recommendation service; Algorithm design and analysis; Databases; Educational institutions; Electronic commerce; Informatics; Information analysis; Information science; Information security; Information technology; Technology management; e-commerce; multi-mode; recommendation system;
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
DOI :
10.1109/IITSI.2010.108
