Search Results for author: Diego Monti

Found 4 papers, 3 papers with code

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

1 code implementation8 Feb 2020 Andrea Fiandro, Giorgio Crepaldi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio

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.

Ensemble Learning

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

no code implementations2 Sep 2019 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.

Recommendation Systems

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

1 code implementation11 Oct 2018 Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

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.

Information Retrieval

A Distributed and Accountable Approach to Offline Recommender Systems Evaluation

1 code implementation11 Oct 2018 Diego Monti, Giuseppe Rizzo, Maurizio Morisio

For these reasons, we introduce RecLab, an open source software for evaluating recommender systems in a distributed fashion.

Information Retrieval

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