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20172020
most citedHybrid Recommender Systems: A Systematic Literature Review

334 citations · 383 across the 8 of their papers we have counts for

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cs.IR2020

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…

cs.IR2019

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…

cs.IR2019334 cited

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…

cs.IR2018

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…

cs.IR2018

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…

cs.IR20172 cited

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…