A systematic review of movie recommender systems
Recommender systems are vital to everyone's information selection. Managing massive
amounts of data is common with recommendation system technology. Annual film releases …
amounts of data is common with recommendation system technology. Annual film releases …
KGIE: Knowledge graph convolutional network for recommender system with interactive embedding
M Li, W Ma, Z Chu - Knowledge-Based Systems, 2024 - Elsevier
In recent years, knowledge graphs (KGs) have gained considerable traction across various
domains, especially in the realm of recommender systems, where their integration has …
domains, especially in the realm of recommender systems, where their integration has …
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
X Ma, M Li, X Liu - arxiv preprint arxiv:2407.18937, 2024 - arxiv.org
Using 286 research papers collected from Web of Science, ScienceDirect, SpringerLink,
arxiv, and Google Scholar databases, a systematic review methodology was adopted to …
arxiv, and Google Scholar databases, a systematic review methodology was adopted to …
SocialCU: integrating commonalities and uniqueness of users and items for social recommendation
S Li, M Gan, J Xu - World Wide Web, 2024 - Springer
Social recommendation (SR) based on Graph Neural Networks (GNNs) presents a
promising avenue to significantly improve user experience by leveraging historical behavior …
promising avenue to significantly improve user experience by leveraging historical behavior …
[PDF][PDF] Enhancing Movie Recommendations: A Demographic-Integrated Cosine-KNN Collaborative Filtering Approach.
This research presents a new Demographic-Enhanced Cosine-KNN method for
collaborative filtering in recommender systems. Our method demonstrates superior …
collaborative filtering in recommender systems. Our method demonstrates superior …
A Novel Collaborative Filtering Recommendation Method Based on Weight Determination.
YJ Leng, Z Wang - KSII Transactions on Internet & …, 2024 - search.ebscohost.com
Collaborative filtering generates recommendations for target users by summarizing the
preferences of neighbor users, so it does not need to analyze the content of digital resources …
preferences of neighbor users, so it does not need to analyze the content of digital resources …
[PDF][PDF] ITEGAM-JETIA
Y Ariyanto, T Widiyaningtyas - 2024 - researchgate.net
Recommender systems are vital to everyone's information selection. Managing massive
amounts of data is common with recommendation system technology. Annual film releases …
amounts of data is common with recommendation system technology. Annual film releases …