Design and Application of Intelligent Recommender Systems in Vocational Rehabilitation

Siran Yang

doi:10.62051/n4g3zf31

Authors

Siran Yang

DOI:

https://doi.org/10.62051/n4g3zf31

Keywords:

vocational rehabilitation, intelligent recommender system, personalized recommendation, algorithm design, data-driven, system architecture.

Abstract

With the rapid development of information technology, the application of intelligent recommender systems in various fields has become more and more extensive, and vocational rehabilitation, as a field focusing on personalized services, faces the challenge of how to effectively use big data and intelligent algorithms to enhance the rehabilitation effect. This paper discusses the design principles and key technologies of intelligent recommender system in vocational rehabilitation, combining data-driven recommendation algorithms with users' personalized needs to achieve accurate recommendation of vocational rehabilitation programs. Through the optimization of system architecture and functional implementation, the intelligent recommender system shows remarkable effects in practical application, effectively improving the decision-making efficiency and user satisfaction in the rehabilitation process. Finally, this paper gives an outlook on the future development of the intelligent recommendation system in the field of vocational rehabilitation, and proposes possible research directions and application expansion paths.

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