Predictability of diffusion-based recommender systems

Volume: 185, Pages: 104921
Published: Dec 1, 2019
Abstract
null null Numerous diffusion-based recommendation algorithms (DBA) have been extended to improve the performance of such methods further. However, it is still not clear to what extent recommendation accuracy can be improved if we continue to extend existing algorithms. In this paper, we propose an ideal method to quantify the possible maximum recommendation accuracy of DBA, which is regarded as predictability of algorithms. Accordingly, the...
Paper Details
Title
Predictability of diffusion-based recommender systems
Published Date
Dec 1, 2019
Volume
185
Pages
104921
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