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    • 4th Open SmartData@PoliTO Workshop
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    • Issues in Spatial Databases and Geographic Information Systems (GIS)
    • Does big data mean big knowledge?
    • A new approach to machine learning via group equivariant non-expansive operators and topological data analysis
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    • PhD Course: Introduction to Random Matrices – Theory and Practice
    • Alta Scuola Politecnica: Winter School 2019
    • PhD Course: Data Science for Networks
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    • Open Datasets & Libraries
    • Topics
  • Computing Facilities
    • Cluster Access Instructions
    • Run Spark jobs with custom packages
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Home » Publications » SemRevRec: a recommender system based on user reviews and linked data

SemRevRec: a recommender system based on user reviews and linked data

Maurizio Morisio (2017) SemRevRec: a recommender system based on user reviews and linked data, In: Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017)

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