Tourism Destination Recommendation and Marketing Model Analysis Based on Collaborative Filtering Algorithm
T Niu, M Song, X Wang, L Wang - Mobile Information Systems, 2022 - Wiley Online Library
The Internet has penetrated into all fields. As the most dynamic “sunrise industry,” tourism
has also been swept into such a wave of Internet. In such an era of “information overload,” …
has also been swept into such a wave of Internet. In such an era of “information overload,” …
Multi-Self-Supervised Light Graph Convolution Network for Social Recommendation
Y Zhou, Y Zhou, D Yu - … Conference on Advanced Data Mining and …, 2023 - Springer
Self-supervised learning is a novel paradigm between unsupervised and supervised
learning, which can use the ground-truth samples automatically generated from the raw data …
learning, which can use the ground-truth samples automatically generated from the raw data …
[PDF][PDF] Modeling an e-Commerce Hybrid Recommender System Based on Machine Learning Algorithms.
The spread of the Web and the digitalization of human society has led to the emergence of e-
commerce sites. The remarkable increase in the amount of data produced by digital and …
commerce sites. The remarkable increase in the amount of data produced by digital and …
Time Window Based Recommender System for Movies
Recommendation system is very popular nowadays with all e-commerce sites as well as in
movie recommendation. A very common method to recommend movies to a target user is by …
movie recommendation. A very common method to recommend movies to a target user is by …