Title :
Research of mobile recommendation system based on hybrid recommendation technology
Author :
Bin Xiang ; Zhongnan Zhang ; Huaili Dong ; Qingfeng Wu ; Lei Hu
Author_Institution :
Software Sch., Xiamen Univ., Xiamen, China
Abstract :
The invention and wide use of the network satisfy the information needs of a large number of users, but introduce the problem of information overload. Intelligent recommendation system is an effective way to solve the information overload and has developed for many years on the PC side. In the context of the vigorous development of mobile communication, this paper raises the prospective that integrating the mobile technology into recommendation system to build a mobile intelligent recommendation model, and takes the social activities for example to realize the model.
Keywords :
information retrieval; mobile computing; recommender systems; hybrid recommendation technology; information overload; intelligent recommendation system; mobile communication; mobile intelligent recommendation model; mobile technology; Algorithm design and analysis; Artificial intelligence; Data collection; Data models; Heuristic algorithms; Mobile communication; Vectors; hybrid recommendation; mobile platform; recommendation system;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
DOI :
10.1109/CECNet.2013.6703381