Handling massive sparse data in recommendation systems
VL Chetana, H Seetha - Journal of Information & Knowledge …, 2024 - World Scientific
Collaborative filtering-based recommendation systems have become significant in various
domains due to their ability to provide personalised recommendations. In e-commerce …
domains due to their ability to provide personalised recommendations. In e-commerce …
A novel fuzzy neural collaborative filtering for recommender systems
J Deng, J Chen, S Wang, J Ye, Y Wang - Expert Systems with Applications, 2024 - Elsevier
In collaborative filtering recommendations, part of studies mainly focus on quantitatively
learning user preferences based on explicit rating information. However, due to the …
learning user preferences based on explicit rating information. However, due to the …
Lighter Sequential Recommendation Algorithm With Time Interval Awareness Augmentation
X Zheng, X Li, S Jiang, Z Chen, L Sun, Q Yu… - IEEE Transactions on …, 2024 - computer.org
Sequential recommendation models analyze users' historical interactions to predict the next
item they will en gage with. In order to better capture users' dynamic interest preferences …
item they will en gage with. In order to better capture users' dynamic interest preferences …