Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns

Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’s feedback. One of the most challenging probl...

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Bibliographic Details
Main Authors: Antiopi Panteli, Basilis Boutsinas
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/16/4/182