Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. (arXiv:2204.11602v2 [cs.IR] UPDATED)

Recently, Deep Neural Networks (DNNs) have been widely introduced into
Collaborative Filtering (CF) to produce more accurate recommendation results
due to their capability of capturing the complex nonlinear relationships
between items and users.However, the DNNs-based models usually suffer from high
computational complexity, i.e., consuming very long training time and storing
huge amount of trainable parameters. To address these problems, we propose a
new broad recommender system called Broad Collaborative Filtering (BroadCF),
which is an efficient nonlinear collaborative filtering approach. Instead …

arxiv collaborative collaborative filtering filtering