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Time Series Geographic Social Network Dynamic Preference Group Query

Author

Listed:
  • Yinglian Zhou

    (Hunan International Economics University, China)

  • Jifeng Chen

    (Hunan International Economics University, China)

Abstract

Driven by experience and social impact of the new life, user preferences continue to change over time. In order to make up for the shortcomings of existing geographic social network models that often cannot obtain user dynamic preferences, a time-series geographic social network model was constructed to detect user dynamic preferences, a dynamic preference value model was built for user dynamic preference evaluation, and a dynamic preferences group query (DPG) was proposed in this paper . In order to optimize the efficiency of the DPG query algorithm, the UTC-tree index user timing check-in record is designed. UTC-tree avoids traversing all user check-in records in the query, accelerating user dynamic preference evaluation. Finally, the DPG query algorithm is used to implement a well-interacted DPG query system. Through a large number of comparative experiments, the validity of UTC-tree and the scalability of DPG query are verified.

Suggested Citation

  • Yinglian Zhou & Jifeng Chen, 2021. "Time Series Geographic Social Network Dynamic Preference Group Query," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 13(4), pages 18-39, October.
    • Handle: RePEc:igg:jisss0:v:13:y:2021:i:4:p:18-39
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