INMO: a model-agnostic and scalable module for inductive collaborative filtering
Collaborative filtering is one of the most common scenarios and popular research topics in
recommender systems. Among existing methods, latent factor models, ie, learning a specific …
recommender systems. Among existing methods, latent factor models, ie, learning a specific …
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
Y Wu, Q Cao, H Shen, S Tao, X Cheng - arXiv preprint arXiv:2107.05247, 2021 - arxiv.org
Collaborative filtering is one of the most common scenarios and popular research topics in
recommender systems. Among existing methods, latent factor models, ie, learning a specific …
recommender systems. Among existing methods, latent factor models, ie, learning a specific …
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
Y Wu, Q Cao, H Shen, S Tao, X Cheng - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Collaborative filtering is one of the most common scenarios and popular research topics in
recommender systems. Among existing methods, latent factor models, ie, learning a specific …
recommender systems. Among existing methods, latent factor models, ie, learning a specific …