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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (3): 25-35    DOI: 10.11925/infotech.2096-3467.2018.0784
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A Survey of User Profiles Methods
Guangshang Gao()
Business School, Guilin University of Technology, Guilin 541004, China
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[Objective] This paper discusses the mechanism of User Profiles construction process from the perspectives of design thinking and data types. [Coverage] We used Google Scholar and CNKI to search literatures with the keywords “User Personas” and “User Profiles”. Then we selected 90 representative literatures on User Personas in conjunction with topic screening, intensive reading and retrospective method. [Methods] Firstly, this paper studies the construction process of User Profiles from the perspective of design thinking, specifically combining the four perspectives of Goal-Directed, Role-Based, Engagement-Based and Fiction-Based. Second, it analyzes construction process of User Profiles from the perspective of data types, specifically combining Ontology or Concept, Subject or Topic, Interest or Preference, Behavior or Log, Multidimension or Fusion. Next, the construction methods are compared in detail from three aspects: logical ideas, performance characteristics and limitations. Finally, the next step for research on User Profiles is prospected. [Results] User Profiles technology plays a vital role in many areas such as online public opinion governance, advertising marketing and personalized services. [Limitations] There is no in-depth analysis of the evaluation indicators of User Profiles algorithms. [Conclusions] Although the existing methods of User Profiles can meet the needs of many applications to a certain extent, in the era of big data, it still faces the challenges of data sparsity, scene intelligence perception and user interest migration.

Key wordsUser Profiles      Ontology      Topic      Interest      Behavior Log     
Received: 18 July 2018      Published: 17 April 2019

Cite this article:

Guangshang Gao. A Survey of User Profiles Methods. Data Analysis and Knowledge Discovery, 2019, 3(3): 25-35.

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