activity
20172020
most citedHybrid Recommender Systems: A Systematic Literature Review

334 citations · 383 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CL202013 cited

A Data-driven Neural Network Architecture for Sentiment Analysis

Erion Çano, Maurizio Morisio

The fabulous results of convolution neural networks in image-related tasks, attracted attention of text mining, sentiment analysis and other text analysis researchers. It is howeve…

cs.HC202020 cited

Mood-based On-Car Music Recommendations

Erion Çano, Riccardo Coppola, Eleonora Gargiulo +2

Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comf…

cs.CL2020

Quality of Word Embeddings on Sentiment Analysis Tasks

Erion Çano, Maurizio Morisio

Word embeddings or distributed representations of words are being used in various applications like machine translation, sentiment analysis, topic identification etc. Quality of wo…

cs.IR2020

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

Andrea Fiandro, Giorgio Crepaldi, Diego Monti +2

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. We prop…

cs.IR2019

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

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. However, the numbe…

cs.CL201911 cited

Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey

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 ana…