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2020 – today
- 2021
[j5]Diego Monti
, Giuseppe Rizzo, Maurizio Morisio:
A systematic literature review of multicriteria recommender systems. Artif. Intell. Rev. 54(1): 427-468 (2021)- 2020
- [b1]Diego Monti:
Multicriteria Evaluation for Top-k and Sequence-based Recommender Systems. Polytechnic University of Turin, Italy, 2020 - [j4]Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. 151: 113235 (2020) - [j3]Simone Leonardi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Multilingual Transformer-Based Personality Traits Estimation. Inf. 11(4): 179 (2020) - [c6]Simone Leonardi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Mining micro-influencers from social media posts. SAC 2020: 867-874 - [i6]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)
2010 – 2019
- 2019
- [j2]Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems. Inf. 10(5): 174 (2019) - [c5]Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Visualizing Ratings in Recommender System Datasets. IntRS@RecSys 2019: 60-64 - [i5]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
- [j1]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) - [c4]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 - [i4]Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems. CoRR abs/1810.04956 (2018) - [i3]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
- [c3]Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio:
Content Recommendation through Semantic Annotation of User Reviews and Linked Data. K-CAP 2017: 32:1-32:4 - [c2]Iacopo Vagliano, Diego Monti, Maurizio Morisio:
SemRevRec: A Recommender System based on User Reviews and Linked Data. RecSys Posters 2017 - [i1]Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio:
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report. CoRR abs/1709.09973 (2017) - 2016
- [c1]Diego Monti, Maurizio Morisio:
Semantic Annotation of Medical Documents in CDA Context. ITBAM 2016: 163-172
Coauthor Index
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