2 citations · 2 across the 2 of their papers we have counts for
5 papers · 1 filter
Understanding Twitter Engagement with a Click-Through Rate-based Method
Andrea Fiandro, Jeanpierre Francois, Isabeau Oliveri +5
This paper presents the POLINKS solution to the RecSys Challenge 2020 that ranked 6th in the final leaderboard. We analyze the performance of our solution that utilizes the click-t…
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…
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…