IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm
MF Aljunid, MD Huchaiah - Expert Systems with Applications, 2022 - Elsevier
Due to the expansion of e-business, the availability of products on the internet has massively
increased. Finding suitable stuff from the vast array of products available on the internet is a …
increased. Finding suitable stuff from the vast array of products available on the internet is a …
Shared neural item representations for completely cold start problem
Neural networks have become popular recently in recommendation systems to extract user
and item representations. Most previous works follow a two-branch setting, where user and …
and item representations. Most previous works follow a two-branch setting, where user and …
One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations
R Raziperchikolaei, Y Chung - … of the 18th ACM Conference on …, 2024 - dl.acm.org
In one-class recommendation systems, the goal is to learn a model from a small set of
interacted users and items and then identify the positively-related (ie, similar) user-item pairs …
interacted users and items and then identify the positively-related (ie, similar) user-item pairs …
Reducing sample selection bias in a machine learning-based recommender system
The present disclosure relates to improving recommendations for small shops on an
ecommerce platform while maintaining accuracy for larger shops by retraining a machine …
ecommerce platform while maintaining accuracy for larger shops by retraining a machine …