Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jianxun Lian"'
Autor:
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Recent recommender systems have shown remarkable performance by using an ensemble of heterogeneous models. However, it is exceedingly costly because it requires resources and inference latency proportional to the number of models, which remains the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc823c5f833cd1a039b24697f9e5f56
http://arxiv.org/abs/2303.01130
http://arxiv.org/abs/2303.01130
Collaborative Filtering (CF) is a widely used and effective technique for recommender systems. In recent decades, there have been significant advancements in latent embedding-based CF methods for improved accuracy, such as matrix factorization, neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39a0bfa79022b2bea13f3c7f4206fda5
Autor:
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
A large-scale recommender system usually consists of recall and ranking modules. The goal of ranking modules (aka rankers) is to elaborately discriminate users' preference on item candidates proposed by recall modules. With the success of deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a9a980e12cc3f37f8587eb4a1faa0c
http://arxiv.org/abs/2205.10775
http://arxiv.org/abs/2205.10775
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Publikováno v:
KDD
News recommendation systems play a key role in online news reading service. Knowledge graphs (KG), which contain comprehensive structural knowledge, are well known for their potential to enhance both accuracy and explainability. While existing works