Twitpersonality: Computing personality traits from tweets using word embeddings and supervised learning G Carducci, G Rizzo, D Monti, E Palumbo, M Morisio Information 9 (5), 127, 2018 | 91 | 2018 |
entity2rec: Property-specific knowledge graph embeddings for item recommendation E Palumbo, D Monti, G Rizzo, R Troncy, E Baralis Expert Systems with Applications 151, 113235, 2020 | 90 | 2020 |
A systematic literature review of multicriteria recommender systems D Monti, G Rizzo, M Morisio Artificial intelligence review 54 (1), 427-468, 2021 | 61 | 2021 |
Multilingual transformer-based personality traits estimation S Leonardi, D Monti, G Rizzo, M Morisio Information 11 (4), 179, 2020 | 30 | 2020 |
Mining micro-influencers from social media posts S Leonardi, D Monti, G Rizzo, M Morisio Proceedings of the 35th Annual ACM Symposium on Applied Computing, 867-874, 2020 | 22 | 2020 |
An ensemble approach of recurrent neural networks using pre-trained embeddings for playlist completion D Monti, E Palumbo, G Rizzo, P Lisena, R Troncy, M Fell, E Cabrio, ... Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018 | 18 | 2018 |
Sequeval: An offline evaluation framework for sequence-based recommender systems D Monti, E Palumbo, G Rizzo, M Morisio Information 10 (5), 174, 2019 | 15 | 2019 |
Content recommendation through semantic annotation of user reviews and linked data I Vagliano, D Monti, A Scherp, M Morisio Proceedings of the 9th Knowledge Capture Conference, 1-4, 2017 | 13 | 2017 |
All you need is ratings: A clustering approach to synthetic rating datasets generation D Monti, G Rizzo, M Morisio arXiv preprint arXiv:1909.00687, 2019 | 11 | 2019 |
SemRevRec: A Recommender System based on User Reviews and Linked Data. I Vagliano, D Monti, M Morisio RecSys Posters, 2017 | 10 | 2017 |
Content recommendation through semantic annotation of user reviews and linked data-an extended technical report I Vagliano, D Monti, A Scherp, M Morisio arXiv preprint arXiv:1709.09973, 2017 | 8 | 2017 |
A distributed and accountable approach to offline recommender systems evaluation D Monti, G Rizzo, M Morisio arXiv preprint arXiv:1810.04957, 2018 | 7 | 2018 |
Sequeval: A framework to assess and benchmark sequence-based recommender systems D Monti, E Palumbo, G Rizzo, M Morisio arXiv preprint arXiv:1810.04956, 2018 | 6 | 2018 |
Visualizing Ratings in Recommender System Datasets. D Monti, G Rizzo, M Morisio IntRS@ RecSys, 60-64, 2019 | 4 | 2019 |
Semantic annotation of medical documents in CDA context D Monti, M Morisio International Conference on Information Technology in Bio-and Medical …, 2016 | 3 | 2016 |
Semantic trails of city explorations: How do we live a city D Monti, E Palumbo, G Rizzo, R Troncy, T Ehrhart, M Morisio arXiv preprint arXiv:1812.04367, 2018 | 2 | 2018 |
Multicriteria Evaluation for Top-k and Sequence-based Recommender Systems. D Monti Polytechnic University of Turin, Italy, 2020 | | 2020 |
Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion A Fiandro, G Crepaldi, D Monti, G Rizzo, M Morisio arXiv preprint arXiv:2002.03124, 2020 | | 2020 |