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Giuseppe Rizzo 0002
- > Home > Persons > Giuseppe Rizzo 0002
Publications
- 2021
- [j17]Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
A systematic literature review of multicriteria recommender systems. Artif. Intell. Rev. 54(1): 427-468 (2021) - [j16]Simone Leonardi, Giuseppe Rizzo, Maurizio Morisio:
Automated Classification of Fake News Spreaders to Break the Misinformation Chain. Inf. 12(6): 248 (2021) - 2020
- [j14]Simone Leonardi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Multilingual Transformer-Based Personality Traits Estimation. Inf. 11(4): 179 (2020) - [c60]Isabeau Oliveri, Luca Ardito, Giuseppe Rizzo, Maurizio Morisio:
Creativity Embedding: A Vector to Characterise and Classify Plausible Triples in Deep Learning NLP Models. CLiC-it 2020 - [c59]Matteo Antonio Senese, Giuseppe Rizzo, Mauro Dragoni, Maurizio Morisio:
MTSI-BERT: A Session-aware Knowledge-based Conversational Agent. LREC 2020: 717-725 - [c58]Simone Leonardi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Mining micro-influencers from social media posts. SAC 2020: 867-874 - [i10]Andrea Fiandro, Giorgio Crepaldi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion. CoRR abs/2002.03124 (2020) - 2019
- [j12]Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems. Inf. 10(5): 174 (2019) - [c56]Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Visualizing Ratings in Recommender System Datasets. IntRS@RecSys 2019: 60-64 - [i7]Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation. CoRR abs/1909.00687 (2019) - 2018
- [j7]Giulio Carducci, Giuseppe Rizzo, Diego Monti, Enrico Palumbo, Maurizio Morisio:
TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning. Inf. 9(5): 127 (2018) - [c49]Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Pasquale Lisena, Raphaël Troncy, Michael Fell, Elena Cabrio, Maurizio Morisio:
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion. RecSys Challenge 2018: 13:1-13:6 - [c46]Martino Mensio, Giuseppe Rizzo, Maurizio Morisio:
Multi-turn QA: A RNN Contextual Approach to Intent Classification for Goal-oriented Systems. WWW (Companion Volume) 2018: 1075-1080 - [c45]Martino Mensio, Giuseppe Rizzo, Maurizio Morisio:
The Rise of Emotion-aware Conversational Agents: Threats in Digital Emotions. WWW (Companion Volume) 2018: 1541-1544 - [i6]Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems. CoRR abs/1810.04956 (2018) - [i5]Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
A Distributed and Accountable Approach to Offline Recommender Systems Evaluation. CoRR abs/1810.04957 (2018) - [i2]Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Maurizio Morisio:
Semantic Trails of City Explorations: How Do We Live a City. CoRR abs/1812.04367 (2018) - 2017
- [j5]Giuseppe Rizzo, Federico Tomassetti, Antonio Vetrò, Luca Ardito, Marco Torchiano, Maurizio Morisio, Raphaël Troncy:
Semantic enrichment for recommendation of primary studies in a systematic literature review. Digit. Scholarsh. Humanit. 32(1): 195-208 (2017) - 2011
- [c4]Federico Tomassetti, Giuseppe Rizzo, Antonio Vetrò, Luca Ardito, Marco Torchiano, Maurizio Morisio:
Linked data approach for selection process automation in systematic reviews. EASE 2011: 31-35
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