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  • About
    • The mission
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    • People who are involved
    • External Advisory Board
  • Events
    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
  • Seminars
    • 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
  • Education
    • 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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    • Current PhD
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    • Open Datasets & Libraries
    • Topics
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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 » An empirical comparison of knowledge graph embeddings for item recommendation

An empirical comparison of knowledge graph embeddings for item recommendation

Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, ELENA MARIA Baralis, Michele Osella, ENRICO GIOVANNI Ferro (2018) An empirical comparison of knowledge graph embeddings for item recommendation, In: Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018

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