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Scenario based e-commerce recommendation algorithm based on customer interest in Internet of things environment

  • Xiao-qiang Wu
  • Lei ZhangEmail author
  • Song-ling Tian
  • Lan Wu
Article
  • 18 Downloads

Abstract

With the development of mobile commerce, situational awareness and Internet of things, the boundaries of e-commerce have been greatly expanded, and it has entered a big data era of business information. However, customers are faced with the problem that information is rich but useful information is hard to get. E-commerce is facing the challenge of how to provide personalized information recommendation services for customers and motivate customers to purchase continuously. Therefore, this paper studies the problem of e-commerce recommendation under the condition of large data, and proposes a scenario-based e-commerce recommendation algorithm based on customer interest. Firstly, according to the characteristics of customer interest such as situational sensitivity and diversity in personalized recommendation, a multi-dimensional customer interest feature vector is established by using distributed cognitive theory to differentiate the sensitive scenarios of customer interest. Then, the collaborative filtering recommendation algorithm is used to realize customer similarity judgment and product recommendation in sensitive scenarios. Experimental results show that the method has good customer interest extraction ability. Compared with other recommendation methods, it has higher recommendation accuracy and can adapt to the high-quality commodity recommendation service in the process of customer continuous purchase under complex circumstances.

Keywords

Internet of things E-commerce recommendation Customer interest Distributed cognition Collaborative filtering 

Notes

Acknowledgements

This work is supported by the College Scientific Research Project of Inner Mongolia Autonomous Region (NJZY18159), the Science and Technology Innovation Guide Project of Inner Mongolia Autonomous Region (KCBJ2018028), and the Higher Education Teaching Reform Research Project of National Civil Affairs (15085).

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Mechanical EngineeringInner Mongolia University for the NationalitiesTongliaoChina
  2. 2.School of Mechanical EngineeringTianjin University of CommerceTianjinChina
  3. 3.School of Mechanical EngineeringTianjin UniversityTianjinChina

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