Trust-aware recommendation based on heterogeneous multi-relational graphs fusion
Users' trust relations have a significant influence on their choice towards different products.
However, few recommendation or prediction algorithms both consider users' social trust …
However, few recommendation or prediction algorithms both consider users' social trust …
On deep neural network for trust aware cross domain recommendations in E-commerce
Over the years, cross-domain and trust-based recommendation systems are proven to be
very helpful in solving issues pertaining to data sparsity and cold start. Many e-commerce …
very helpful in solving issues pertaining to data sparsity and cold start. Many e-commerce …
Bilateral knowledge graph enhanced online course recommendation
S Yang, X Cai - Information Systems, 2022 - Elsevier
Recommender system can provide users with items that meet their potential needs in mass
information. Its development provides new ideas and supporting technologies for …
information. Its development provides new ideas and supporting technologies for …
Social networks data analytical approaches for trust‐based recommender systems: A systematic literature review
N Vatani, AM Rahmani, HHS Javadi… - International Journal of …, 2024 - Wiley Online Library
With the explosive growth of information on the web and the quick provision of novel web
services, recommendation systems have emerged as efficient mechanism for providing …
services, recommendation systems have emerged as efficient mechanism for providing …
Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations
Recently, cross-domain recommendation systems have been very helpful in improving the
quality of recommendation and solving the problem of cold start and data sparsity. Cross …
quality of recommendation and solving the problem of cold start and data sparsity. Cross …
Memtrust: Find deep trust in your mind
Trust prediction is gaining significant interest since it could reduce the burden of user
decision-makings effectively in various social activities. Existing works on trust prediction …
decision-makings effectively in various social activities. Existing works on trust prediction …
A framework for generating recommendations based on trust in an informal e-learning environment
A Rehman, A Ahmed, TJ Alahmadi, AR Mirdad… - PeerJ Computer …, 2024 - peerj.com
Rapid advancement in information technology promotes the growth of new online learning
communities in an e-learning environment that overloads information and data sharing …
communities in an e-learning environment that overloads information and data sharing …
New recommender system for online courses using knowledge graph modeling
S Bhaskaran, N Bharathiraja… - 2023 International …, 2023 - ieeexplore.ieee.org
Nowadays, customers can get recommendations for products and services that fit their
anticipated needs in the context of a large body of data. Advances in this area provide novel …
anticipated needs in the context of a large body of data. Advances in this area provide novel …
Retracted: Collaborative learning‐assisted recommendation of social trust over Web of Things
K Shrivastava, V Saravanan, A Rizwan… - IET …, 2023 - Wiley Online Library
The above article from IET Communications, published online on 24 November 2022 in
Wiley Online Library (wileyonlinelibrary. com), has been retracted by agreement between …
Wiley Online Library (wileyonlinelibrary. com), has been retracted by agreement between …
A Hybrid Laptop Recommendation System for Engineering Undergraduates
A Acharya, A Agarwal, A Agarwal… - 2023 International …, 2023 - ieeexplore.ieee.org
Today, recommendation systems are widely used to solve the problem of finding the most
relevant information from the abundant amount of data present. The literature findings …
relevant information from the abundant amount of data present. The literature findings …