6 papers
Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
Xiping Li, Jianghong Ma, Kangzhe Liu +3
In recent years, the video game industry has experienced substantial growth, presenting players with a vast array of game choices. This surge in options has spurred the need for a…
CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
Xiping Li, Aier Yang, Jianghong Ma +4
The rapid expansion of gaming industry requires advanced recommender systems tailored to its dynamic landscape. Existing Graph Neural Network (GNN)-based methods primarily prioriti…
One-Shot Federated Clustering of Non-Independent Completely Distributed Data
Yiqun Zhang, Shenghong Cai, Zihua Yang +3
Federated Learning (FL) that extracts data knowledge while protecting the privacy of multiple clients has achieved remarkable results in distributed privacy-preserving IoT systems,…
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing
Dongliang Zhou, Haijun Zhang, Jianghong Ma +1
Collocated clothing synthesis using generative networks has become an emerging topic in the field of fashion intelligence, as it has significant potential economic value to increas…
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting
Dongliang Zhou, Haijun Zhang, Jianghong Ma +2
Outfit generation is a challenging task in the field of fashion technology, in which the aim is to create a collocated set of fashion items that complement a given set of items. Pr…
Towards Intelligent Design: A Self-driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures
Minglong Dong, Dongliang Zhou, Jianghong Ma +1
Collocated clothing synthesis (CCS) has emerged as a pivotal topic in fashion technology, primarily concerned with the generation of a clothing item that harmoniously matches a giv…