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A Framework of Mobile Context-Aware Recommender System

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Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

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Abstract

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.

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Acknowledgments

This work was supported by the Science Research Program of the Education Department of Liaoning Province, China (Grant No. 2016JYT01), National Social Science Foundation of China (Grant No. 15BYY028) and the Open Program of State Key Laboratory of Software Architecture (SKLSAOP1703).

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Authors and Affiliations

  1. Institute of Systems Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China

    Caihong Liu & Chonghui Guo

  2. College of Software, Dalian University of Foreign Languages, Dalian, 116041, Liaoning, China

    Caihong Liu

  3. State Key Laboratory of Software Architecture (Neusoft Corporation), Shenyang, 110179, Liaoning, China

    Chonghui Guo

Authors
  1. Caihong Liu
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  2. Chonghui Guo
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Correspondence to Caihong Liu .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Harbin Engineering University, Harbin, China

    Qilong Han

  3. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  4. Northeast Forestry University, Harbin, China

    Weipeng Jing

  5. Huaihua University, Huaihua, Hunan, China

    Xiaoning Peng

  6. Sciences of Country Tripod Institute of Data Science, Harbin, China

    Zeguang Lu

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Liu, C., Guo, C. (2017). A Framework of Mobile Context-Aware Recommender System. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_7

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  • DOI: https://doi.org/10.1007/978-981-10-6388-6_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

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