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Recommendation system

Project
18033 Mad@Work
Type
Collaboration
Description

Our advanced Stress Management and Acute Stress Mitigation Recommendation System is tailored to individual needs, using insights from a short health questionnaire across 8 dimensions. It combines a content-based approach with a health analysis and ranking mechanism (1-5) for tailored advice. Designed to evolve, our ever-expanding recommendation library encompasses a wide range of stress management and mitigation strategies, with specialized inclusions for workplace settings.

Contact
Nuno Rocha
Email
nrocha@ess.ipp.pt
Research area(s)
Stress Mitigation; Occupational Health; Recommender system
Technical features
  1. Personalized Recommendations: By analyzing individual responses across 8 health dimensions, our system ensures that every recommendation is tailored to the user's specific needs, optimizing for maximum effectiveness.
  2. Dual Mechanism: Combines both content-based and ranking mechanisms, harnessing the strengths of each to deliver a comprehensive recommendation suite.
  3. Dynamic Library: Our ever-growing recommendation library means users benefit from the latest insights and strategies in stress management and acute stress mitigation.
  4. Workplace Specialization: Recognizing the unique challenges of workplace stress, our system provides bespoke recommendations tailored for professional settings, aiding in fostering a healthier work environment.
  5. User Feedback Integration: The ranking system (1-5) not only guides recommendation delivery but also learns from user feedback, ensuring the recommendations become more precise over time.
Integration constraints

Integration methods: Data aggregation/API integration Requirements: Data format, User Identifier, JSON Support, Backend functions Constraints: User interface constraints and Platform

Targeted customer(s)

Corporate Enterprises with high stress environments (e.g. finance, insurance) Wellness program providers Mental Health Apps & Platforms Human Resource Management Platforms

Conditions for reuse

Proprietary License

Confidentiality
Public
Publication date
19-10-2023
Involved partners
Polytechnic Institute of Porto (PRT)
Instituto Superior de Engenharia do Porto (ISEP) (PRT)
Médis – Companhia Portuguesa de Seguros de Saúde, SA (PRT)