334 citations · 383 across the 8 of their papers we have counts for
6 papers · 1 filter
Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion
Andrea Fiandro, Giorgio Crepaldi, Diego Monti +2
This paper describes the solution of the POLINKS team to the RecSys Challenge 2019 that focuses on the task of predicting the last click-out in a session-based interaction. We prop…
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation
Diego Monti, Giuseppe Rizzo, Maurizio Morisio
The public availability of collections containing user preferences is of vital importance for performing offline evaluations in the field of recommender systems. However, the numbe…
Hybrid Recommender Systems: A Systematic Literature Review
Erion Çano, Maurizio Morisio
Recommender systems are software tools used to generate and provide suggestions for items and other entities to the users by exploiting various strategies. Hybrid recommender syste…
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
Diego Monti, Enrico Palumbo, Giuseppe Rizzo +1
In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items. A sequence-based r…
A Distributed and Accountable Approach to Offline Recommender Systems Evaluation
Diego Monti, Giuseppe Rizzo, Maurizio Morisio
Different software tools have been developed with the purpose of performing offline evaluations of recommender systems. However, the results obtained with these tools may be not di…
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report
Iacopo Vagliano, Diego Monti, Ansgar Scherp +1
Nowadays, most recommender systems exploit user-provided ratings to infer their preferences. However, the growing popularity of social and e-commerce websites has encouraged users…