Classification and recommendation of mental health assistance events using an RNN-LSTM, fast-and-frugal trees and weighted sum system

Caldwell, Nicholas and Dickson, Nathan (2024) Classification and recommendation of mental health assistance events using an RNN-LSTM, fast-and-frugal trees and weighted sum system. Lecture Notes in Artificial Intelligence: Proceedings of the AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence. ISSN 2945-9141 (In Press)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: recommendation engine, social prescribing, classifier
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Arts, Business & Applied Social Science > School of Technology, Business & Arts
Depositing User: David Upson-Dale
Date Deposited: 06 Sep 2024 15:43
Last Modified: 06 Sep 2024 15:43
URI: https://oars.uos.ac.uk/id/eprint/4125

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