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Research on the positioning method of online community users from the perspective of precision marketing
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References

  • 1992Basics of Qualitative Research: Grounded Theory Procedures and Techniques.29,249 cited
  • 2016Linking Users Across Domains with Location Data161 cited
  • 2020Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society87 cited
  • 2011Segmenting customers in online stores based on factors that affect the customer’s intention to purchase74 cited
  • 2014Distributed Wikis: A Survey70 cited
  • 1993The 22 Immutable Laws of Marketing: Violate Them at Your Own Risk51 cited
  • 2021Data mining and machine learning in retail business: developing efficiencies for better customer retention46 cited
  • 2019Patent Analytics Based on Feature Vector Space Model: A Case of IoT41 cited
  • 2017Precise Positioning of Marketing and Behavior Intentions of Location-Based Mobile Commerce in the Internet of Things38 cited
  • 2017Inferring the home locations of Twitter users based on the spatiotemporal clustering of Twitter data28 cited
  • 2014A Model of Market Positioning Based on Value Creation and Service Quality in the Lodging Industry: An Empirical Application of Online Customer Reviews24 cited
  • 2017Clustering short temporal behaviour sequences for customer segmentation using LDA12 cited
  • 2020Multidimensional Scales and Nomological Networks: Clinical Applications2 cited

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