[HTML][HTML] βFSCM: An Enhanced Food Supply Chain Management System Using Hybrid Blockchain and Recommender Systems
F Sun, P Wang, Y Zhang, P Kar - Blockchain: Research and Applications, 2024 - Elsevier
Blockchain technology has gained traction in Food Supply Chain Management (FSCM),
enhancing traceability and transparency. Existing deployments of public or private …
enhancing traceability and transparency. Existing deployments of public or private …
Research on long and short-term social recommendation based on convolutional and gated recurrent units
Z Jia, P Xue, Z Dai, Q Gao… - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
The development of the Internet has made people more closely related and has put forward
higher requirements for recommendation models. Most recommendation models are studied …
higher requirements for recommendation models. Most recommendation models are studied …
Recommendation System for Surplus Food Management using Location based and Collaborative Filtering Approach
N Patil, A Doshi, V Dodiya, J Savla… - … and Computer Science …, 2024 - ieeexplore.ieee.org
In various industries, recommendation systems are playing an increasingly important role in
delivering improved services and customer experiences. In this study, a thorough overview …
delivering improved services and customer experiences. In this study, a thorough overview …
Implementation of the item-based collaborative filtering method on a web-based culinary tourism recommendation system (case study: Magelang City)
AH Ardiansyah, A Widiyanto… - Borobudur Informatics …, 2022 - journal.unimma.ac.id
Culinary is a type of business that will always exist, this is because one of the factors of
human needs is in the form of food. Therefore it is necessary to have a system that provides …
human needs is in the form of food. Therefore it is necessary to have a system that provides …
[引用][C] Optimizing the Learning Rate Hyperparameter for Hybrid BiLSTM-FFNN Model in a Tourism Recommendation System
AA Mustofa, EB Setiawan - JURNAL TEKNIK INFORMATIKA, 2024
[引用][C] SISRES: Web-Based Culinary Recommendation with Collaborative Filtering
[引用][C] Genetic Algorithm Optimization of Hybrid LSTM-AutoEncoder in Tourism Recommendation System
BSD Sanjaya, EB Setiawan - JURNAL TEKNIK INFORMATIKA, 2024