A Framework of Mobile Context-Aware Recommender System

被引：0
|
作者：
Liu, Caihong [1 ,2 ]
Guo, Chonghui [1 ,3 ]
机构：
[1] Dalian Univ Technol, Inst Syst Engn, Dalian 116024, Liaoning, Peoples R China
[2] Dalian Univ Foreign Languages, Coll Software, Dalian 116041, Liaoning, Peoples R China
[3] Neusoft Corp, State Key Lab Software Architecture, Shenyang 110179, Liaoning, Peoples R China
来源：
DATA SCIENCE, PT II | 2017年 / 728卷
关键词：
Mobile context-aware; Long-term behavior pattern; Short-term behavior pattern; Recommendation system; MIDDLEWARE; INFORMATION; PREDICTION;
D O I：
10.1007/978-981-10-6388-6_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Mobile users can be recommended services or goods precisely according to their actual needs even in different contexts. Therefore, it is necessary to construct a framework integrating following functions: context identification, context reasoning, services or product recommendations and other tasks for the mobile terminal. In this paper, we firstly introduce mobile context awareness theory, and describe the composition of context-aware mobile systems. Secondly, we construct a framework of mobile context-aware recommendation system in line with the characteristics of mobile terminal devices and mobile context-aware data. Then, we build a nested key-value storage model and an up-to-date algorithm for mining mobile context-aware sequential pattern, in order to find both the user's long-term behavior pattern and the new trend of his recent behavior, to predict user's next behavior. Lastly, we discuss the difficulties and future development trend of mobile context-aware recommendation system.
引用
收藏
页码：78 / 93
页数：16
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