Diego Monti

According to our database, Diego Monti authored at least 18 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A systematic literature review of multicriteria recommender systems.

Diego Monti, Giuseppe Rizzo, Maurizio Morisio

Artif. Intell. Rev., 2021

2020

Multicriteria Evaluation for Top-k and Sequence-based Recommender Systems.

Diego Monti

PhD thesis, 2020

Multilingual Transformer-Based Personality Traits Estimation.

Simone Leonardi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio

Inf., 2020

entity2rec: Property-specific knowledge graph embeddings for item recommendation.

Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis

Expert Syst. Appl., 2020

Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion.

Andrea Fiandro, Giorgio Crepaldi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio

CoRR, 2020

Mining micro-influencers from social media posts.

Simone Leonardi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

Inf., 2019

All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation.

Diego Monti, Giuseppe Rizzo, Maurizio Morisio

CoRR, 2019

Visualizing Ratings in Recommender System Datasets.

Diego Monti, Giuseppe Rizzo, Maurizio Morisio

Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

2018

TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning.

Giulio Carducci, Giuseppe Rizzo, Diego Monti, Enrico Palumbo, Maurizio Morisio

Inf., 2018

Semantic Trails of City Explorations: How Do We Live a City.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Maurizio Morisio

CoRR, 2018

A Distributed and Accountable Approach to Offline Recommender Systems Evaluation.

Diego Monti, Giuseppe Rizzo, Maurizio Morisio

CoRR, 2018

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

CoRR, 2018

An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Pasquale Lisena, Raphaël Troncy, Michael Fell, Elena Cabrio, Maurizio Morisio

Proceedings of the ACM Recommender Systems Challenge, 2018

2017

Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report.

Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio

CoRR, 2017

SemRevRec: A Recommender System based on User Reviews and Linked Data.

Iacopo Vagliano, Diego Monti, Maurizio Morisio

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Content Recommendation through Semantic Annotation of User Reviews and Linked Data.

Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio

Proceedings of the Knowledge Capture Conference, 2017

2016

Semantic Annotation of Medical Documents in CDA Context.

Diego Monti, Maurizio Morisio

Proceedings of the Information Technology in Bio- and Medical Informatics, 2016