Search Results for author: Maurizio Morisio

Found 10 papers, 5 papers with code

A Data-driven Neural Network Architecture for Sentiment Analysis

no code implementations30 Jun 2020 Erion Çano, Maurizio Morisio

Our results indicate that parallel convolutions of filter lengths up to three are usually enough for capturing relevant text features.

Sentiment Analysis

Mood-based On-Car Music Recommendations

no code implementations25 Jun 2020 Erion Çano, Riccardo Coppola, Eleonora Gargiulo, Marco Marengo, Maurizio Morisio

Driving and music listening are two inseparable everyday activities for millions of people today in the world.

Recommendation Systems

Quality of Word Embeddings on Sentiment Analysis Tasks

no code implementations6 Mar 2020 Erion Çano, Maurizio Morisio

Quality of word embeddings and performance of their applications depends on several factors like training method, corpus size and relevance etc.

Machine Translation Sentiment Analysis +2

Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion

1 code implementation8 Feb 2020 Andrea Fiandro, Giorgio Crepaldi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio

This paper describes the solution of the POLINKS team to the RecSys Challenge 2019 that focuses on the task of predicting the last click-out in a session-based interaction.

Ensemble Learning

All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation

no code implementations2 Sep 2019 Diego Monti, Giuseppe Rizzo, Maurizio Morisio

The public availability of collections containing user preferences is of vital importance for performing offline evaluations in the field of recommender systems.

Recommendation Systems

Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey

no code implementations2 Feb 2019 Erion Çano, Maurizio Morisio

This work investigates the role of factors like training method, training corpus size and thematic relevance of texts in the performance of word embedding features on sentiment analysis of tweets, song lyrics, movie reviews and item reviews.

Sentiment Analysis Word Embeddings

Hybrid Recommender Systems: A Systematic Literature Review

1 code implementation12 Jan 2019 Erion Çano, Maurizio Morisio

Also cold-start and data sparsity are the two traditional and top problems being addressed in 23 and 22 studies each, while movies and movie datasets are still widely used by most of the authors.

Collaborative Filtering Recommendation Systems

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems

1 code implementation11 Oct 2018 Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items.

Information Retrieval

A Distributed and Accountable Approach to Offline Recommender Systems Evaluation

1 code implementation11 Oct 2018 Diego Monti, Giuseppe Rizzo, Maurizio Morisio

For these reasons, we introduce RecLab, an open source software for evaluating recommender systems in a distributed fashion.

Information Retrieval

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