Massimo Quadrana
4 papers in the PaperMetrix corpus
Papers by this author
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The Contextual Turn
2016
A critical change has occurred in the status of context in recommender systems. In the past, context has been considered 'additional evidence'. This past picture is at odds with many present application domains, where user …
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Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
2016
Real-life recommender systems often face the daunting task of providing recommendations based only on the clicks of a user session. Methods that rely on user profiles -- such as matrix factorization -- perform very poorly …
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Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
2017
Session-based recommendations are highly relevant in many modern on-line services (e.g. e-commerce, video streaming) and recommendation settings. Recently, Recurrent Neural Networks have been shown to perform very well in session-based settings. While in many session-based …
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Sequence-Aware Recommender Systems
2018 · ACM Computing Surveys
Recommender systems are one of the most successful applications of data mining and machine-learning technology in practice. Academic research in the field is historically often based on the matrix completion problem formulation, where for each …