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A common challenge for organizations providing vast ranges of services to large customer pools is linking customers only to relevant services, due to the sheer amount of service and customer information available. Using AI techniques, this project provided a linkage between the emotional needs of potential end users and events available through the education and community support charity Suffolk Libraries. The effective data classification and the implementation of a personalized recommendation algorithm allowed the project to connect the events and services offered to those members of the community who would benefit most from them.

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Classification and Recommendation of Mental Health Assistance Events Using an RNN-LSTM, Fast-And-Frugal Trees and Weighted Sum System

  • 会议论文

  • 发表日期：

    2025年

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  • Nathan R. Dickson,
  • Nicholas H. M. Caldwell

摘要

A common challenge for organizations providing vast ranges of services to large customer pools is linking customers only to relevant services, due to the sheer amount of service and customer information available. Using AI techniques, this project provided a linkage between the emotional needs of potential end users and events available through the education and community support charity Suffolk Libraries. The effective data classification and the implementation of a personalized recommendation algorithm allowed the project to connect the events and services offered to those members of the community who would benefit most from them.