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    • External Advisory Board
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    • 10th SmartData@PoliTO Workshop – Present and Future Directions
    • 9th SmartData@PoliTO Workshop – SmartData@PoliTO meets AI-H@PoliTO
    • La biblioteca nel metaverso – la Reading & Machine
  • Workshops
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      • On the dynamics of music virality and its relation with mainstream success
      • Bypass frauds in cellular networks: from Financial strikes to Data poisoning
      • Empowering Data Owners with Control in Outsourcing and Sharing Scenarios
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
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    • Open Datasets & Libraries
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Home » Publications » Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources

Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources

A. Speciale, G. Vallero, L. Vassio, M. Mellia (2023) Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources, In: 7th International workshop on Data Analytics solutions for Real-LIfe APplications

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