Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Zhang, Guixian"'
In recommender systems, various latent confounding factors (e.g., user social environment and item public attractiveness) can affect user behavior, item exposure, and feedback in distinct ways. These factors may directly or indirectly impact user fee
Externí odkaz:
http://arxiv.org/abs/2410.12366
With the widespread use of Graph Neural Networks (GNNs) for representation learning from network data, the fairness of GNN models has raised great attention lately. Fair GNNs aim to ensure that node representations can be accurately classified, but n
Externí odkaz:
http://arxiv.org/abs/2410.11493
The rapid development of Large Language Models (LLMs) creates new opportunities for recommender systems, especially by exploiting the side information (e.g., descriptions and analyses of items) generated by these models. However, aligning this side i
Externí odkaz:
http://arxiv.org/abs/2409.20052
Graph unlearning technology has become increasingly important since the advent of the `right to be forgotten' and the growing concerns about the privacy and security of artificial intelligence. Graph unlearning aims to quickly eliminate the effects o
Externí odkaz:
http://arxiv.org/abs/2408.09705
In recommender systems, popularity and conformity biases undermine recommender effectiveness by disproportionately favouring popular items, leading to their over-representation in recommendation lists and causing an unbalanced distribution of user-it
Externí odkaz:
http://arxiv.org/abs/2408.09646
Publikováno v:
In Neural Networks January 2025 181
Publikováno v:
In Knowledge-Based Systems 3 December 2024 305
Publikováno v:
In Information Processing and Management January 2024 61(1)
Autor:
Zhang Guixian, Fan Mingfeng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Exploring the impact mechanism of online learning effectiveness can effectively optimize and improve the impact to enhance online learning effectiveness. This paper describes a big data Gaussian process regression model under big data technology, and
Externí odkaz:
https://doaj.org/article/dc82bd4ac0fe4459b854513f86399023
How to drive the participation willingness of supply chain members in metaverse technology adoption?
Publikováno v:
In Applied Soft Computing September 2023 145