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    • People who are involved
    • External Advisory Board
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    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
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    • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
    • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
    • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
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    • Courses for PhD students
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
    • PhD Course: Introduction to Random Matrices – Theory and Practice
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    • Projects
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    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
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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

Iacopo Vagliano, DIEGO MICHELE Monti, 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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