Design of Resource Recommendation System for Social Work Service Object Based on Collaborative Filtering

Haonan Zeng ()
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Haonan Zeng: University of Leeds, School of Politics and International Studies & Sociology and Social Policy

A chapter in Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025), 2025, pp 297-303 from Springer

Abstract: Abstract With the continuous development of social work, improving the matching degree between service objects and resources, and enhancing service efficiency and quality, has become an urgent problem to be solved. This paper designs a resource recommendation system for social work service objects based on collaborative filtering. The system adopts a B/S (Browser/Server) architecture and is developed using the SSH framework and MVC (Model-View-Controller) technology, ensuring the security, simplicity, and scalability of the system. In terms of functionality, the resource recommendation system includes key modules such as user management, resource management, recommendation algorithm implementation, and a feedback mechanism, providing comprehensive related services. Utilizing project-based collaborative filtering technology, the system recommends the most relevant resources to service objects by calculating the similarity between resources. This system can offer more accurate and personalized resource recommendations for social work service objects, thereby improving the overall effectiveness of social work services and promoting the healthy development of the social work industry.

Keywords: Resource Recommendation System; Social Work; Service Object; Collaborative Filtering (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-724-3_29

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DOI: 10.2991/978-94-6463-724-3_29

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