Social recommendation based on quantified trust and user’s primary preference space

HIGHLIGHTS

• who: Suqi Zhang et al. from the School of Information Engineering, Tianjin University of Commerce, Tianjin, China have published the paper: Social Recommendation Based on Quantified Trust and Useru2019s Primary Preference Space, in the Journal: (JOURNAL)
• what: To address these issues in this paper the authors propose a novel framework and named TPSR including a quantify method random walk with restart (TQ_RWR) and a primary space model (UPPS). The authors propose the concept of primary preference feature space to represent the original user preferences, which are then mapped to rating space, truster space and trustee . . .
  

   

  

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