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06/30/2020
A Data-driven Neural Network Architecture for Sentiment Analysis
The fabulous results of convolution neural networks in image-related tas...
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06/25/2020
Mood-based On-Car Music Recommendations
Driving and music listening are two inseparable everyday activities for ...
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03/06/2020
Quality of Word Embeddings on Sentiment Analysis Tasks
Word embeddings or distributed representations of words are being used i...
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02/08/2020
Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion
This paper describes the solution of the POLINKS team to the RecSys Chal...
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09/02/2019
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation
The public availability of collections containing user preferences is of...
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02/02/2019
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
This work investigates the role of factors like training method, trainin...
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01/12/2019
Hybrid Recommender Systems: A Systematic Literature Review
Recommender systems are software tools used to generate and provide sugg...
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12/18/2018
A Software Ecosystem Reshaped by a Paradigm Shift: the CSI-Piemonte Case
Context: Changes in the software development paradigm, when operated by ...
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10/11/2018
A Distributed and Accountable Approach to Offline Recommender Systems Evaluation
Different software tools have been developed with the purpose of perform...
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10/11/2018
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
In this paper, we present sequeval, a software tool capable of performin...
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11/09/2017
Scripted GUI Testing of Android Apps: A Study on Diffusion, Evolution and Fragility
Background. Evidence suggests that mobile applications are not thoroughl...
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09/28/2017
