Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems
User Model. User-Adapt. Interact., Volume 28, Issue 2, 2018, Pages 97-125.
EI
Keywords:
Abstract:
Recommender Systems have to deal with a wide variety of users and user types that express their preferences in different ways. This difference in user behavior can have a profound impact on the performance of the recommender system. Users receive better (or worse) recommendations depending on the quantity and the quality of the informatio...More
Code:
Data:
Tags
Comments