2022 Vol.5 Dec.No4

• Title: A neural network-based approach to personalized recommendation of digital resources
• Name: Lin ying
• Company: Northern Arizona University，PO Box4084
• Abstract:

  The current traditional personalized recommendation algorithm for digital resources is too randomized and cannot meet the user's demand for overall knowledge construction, resulting in poor recommendation effect. In this regard, a neural network-based personalized recommendation method for digital resources is proposed. By targeting and pre-processing the recommended digital resources, the accuracy of the recommendation is improved, and the user information behavior and similarity are calculated, and the collaborative recommendation value is calculated to realize personalized recommendation for users. In the experiments, the proposed method is verified for the recommendation effect, and the analysis of the experimental results shows that the proposed method is used to recommend digital resources to users with a high recall rate and a good recommendation effect.

  
  

• Keyword: neural networks, digital resources; personalized recommendations; collaborative filtering algorithms; recall.
• DOI: 10.12250/jpciams2022090522
• Citation form: Lin ying.A neural network-based approach to personalized recommendation of digital resources [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.97-101

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