Alessandro Suglia
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    • Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
    • An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
    • An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
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    • Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
    • Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
    • Predicting Perceptual Speed from Search Behaviour
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    • A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks
    • A Similarity-Based Abstract Argumentation Approach to Extractive Text Summarization
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    • Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems
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Bridging the gap between linked open data-based recommender systems and distributed representations

Jan 1, 2019·
Pierpaolo Basile
,
Claudio Greco
,
Alessandro Suglia
,
Giovanni Semeraro
· 0 min read
Cite DOI URL
Type
Journal article
Publication
Inf. Syst.
Last updated on Jan 1, 2019
← Predicting Perceptual Speed from Search Behaviour Jan 1, 2020
Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System Jan 1, 2018 →

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