Attention on global–local representation spaces in recommender systems
M Rattaphun, WC Fang, CY Chiu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this study, we present a novel clustering-based collaborative filtering (CF) method for
recommender systems. Clustering-based CF methods can effectively deal with data sparsity …
recommender systems. Clustering-based CF methods can effectively deal with data sparsity …
Review of Research on Neural Network Combined with Attention Mechanism in Recommendation System.
GAO Guangshang - Journal of Computer Engineering & …, 2024 - search.ebscohost.com
Explore how neural networks combine attention mechanisms and their variants to better
learn complex and implicit relationships between users and items, thereby improving the …
learn complex and implicit relationships between users and items, thereby improving the …
Improving Nearest Neighbor Indexing by Multitask Learning
A Prayoonwong, KL Zeng, CY Chiu - Proceedings of the 19th …, 2022 - dl.acm.org
In the task of approximate nearest neighbor search, the conventional lookup-table indexing
calculates the distances (or similarities) between the query and codewords, and then re …
calculates the distances (or similarities) between the query and codewords, and then re …
Knowledge Graph Embedding Based on Triple Multilayer Perceptron
Z Hou, J Zhou, T Xu - International Conference on Computer Science and …, 2023 - Springer
The knowledge graph is a structured semantic knowledge base, that can organize the
information in the Internet at the minimum cost and can be applied to many downstream …
information in the Internet at the minimum cost and can be applied to many downstream …