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

Recommender systems have gained a lot of popularity due to their large adoption in various industries such as entertainment and tourism. Numerous research efforts have focused on formulating and advancing state-of-the-art of systems that recommend the right set of items to the right person. However,...

Full description

Bibliographic Details
Main Authors: Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/10/5/174