Active learning algorithm for alleviating the user cold start problem of recommender systems

Active learning algorithm for alleviating the user cold start problem of recommender systems

Abstract A key challenge in recommender systems is how to profile new users. A popular solution for this problem is to use active learning strategies. These strategies request ratings for a small set of carefully selected items to reveal the preferences of new users. In this paper, we propose a new...

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Bibliographic Details
Main Authors: Toon De Pessemier, Bruno Willems, Luc Martens
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Active learning
Decision Trees
User Cold Start
Recommender Systems
Online Access:https://doi.org/10.1038/s41598-025-09708-2
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https://doi.org/10.1038/s41598-025-09708-2

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