334 citations · 401 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
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…
Hybrid Recommender Systems: A Systematic Literature Review
Erion Çano, Maurizio Morisio
Recommender systems are software tools used to generate and provide suggestions for items and other entities to the users by exploiting various strategies. Hybrid recommender syste…
A Software Ecosystem Reshaped by a Paradigm Shift: the CSI-Piemonte Case
Federico Tomassetti, Marco Torchiano, Mauro Antonaci +2
Context: Changes in the software development paradigm, when operated by entities with a pivotal role, have the power to affect a number of groups and entities in their sphere of in…
Semantic Trails of City Explorations: How Do We Live a City
Diego Monti, Enrico Palumbo, Giuseppe Rizzo +3
The knowledge of city exploration trails of people is in short supply because of the complexity in defining meaningful trails representative of individual behaviours and in the acc…
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
Diego Monti, Enrico Palumbo, Giuseppe Rizzo +1
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. A sequence-based r…
A Distributed and Accountable Approach to Offline Recommender Systems Evaluation
Diego Monti, Giuseppe Rizzo, Maurizio Morisio
Different software tools have been developed with the purpose of performing offline evaluations of recommender systems. However, the results obtained with these tools may be not di…
Scripted GUI Testing of Android Apps: A Study on Diffusion, Evolution and Fragility
Riccardo Coppola, Maurizio Morisio, Marco Torchiano
Background. Evidence suggests that mobile applications are not thoroughly tested as their desktop counterparts. In particular GUI testing is generally limited. Like web-based appli…
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report
Iacopo Vagliano, Diego Monti, Ansgar Scherp +1
Nowadays, most recommender systems exploit user-provided ratings to infer their preferences. However, the growing popularity of social and e-commerce websites has encouraged users…