Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Kun Gai"'
Publikováno v:
Bioresources and Bioprocessing, Vol 10, Iss 1, Pp 1-14 (2023)
Abstract A series of activated biochar (KBBC-700, KBBC-800 and KBBC-900) which were modified by KOH and pyrolysis at various temperatures from ball-milling bamboo powder were obtained. The physicochemical properties and pore structures of activated b
Externí odkaz:
https://doaj.org/article/5e4c19d2db744a44bbfce3f7833aa606
Autor:
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
Publikováno v:
Proceedings of the ACM Web Conference 2023.
In recent years, Multi-task Learning (MTL) has yielded immense success in Recommender System (RS) applications. However, current MTL-based recommendation models tend to disregard the session-wise patterns of user-item interactions because they are pr
Autor:
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
In recommender systems, reinforcement learning solutions have effectively boosted recommendation performance because of their ability to capture long-term user-system interaction. However, the action space of the recommendation policy is a list of it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a169657ef4186e79b24c16d658d73634
http://arxiv.org/abs/2302.03431
http://arxiv.org/abs/2302.03431
Embedding-based retrieval (EBR) methods are widely used in modern recommender systems thanks to its simplicity and effectiveness. However, along the journey of deploying and iterating on EBR in production, we still identify some fundamental issues in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b71c6414d3b7aa7b2e8e8e1e54ce98e7
http://arxiv.org/abs/2302.02657
http://arxiv.org/abs/2302.02657
Autor:
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
The wide popularity of short videos on social media poses new opportunities and challenges to optimize recommender systems on the video-sharing platforms. Users sequentially interact with the system and provide complex and multi-faceted responses, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c98d05b5066385c8f749b380a1a38546
Publikováno v:
The Anatomical Record.
New material of the tridensaspid Pterogonaspis yuhaii is described from the Xujiachong Formation in Qujing City, Yunnan Province, revealing the morphology of the ventral side of the headshield for the first time. Most significantly, the cranial anato
Autor:
Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Journal of Fuel Chemistry and Technology. 47:675-687
Herein, the synthesis and performance of a novel and stable catalyst capable of facile hydrolysis of bamboo pulp were reported. Based on adopting complex agent to have a complex reaction with Ni2+ cations, the graphitic g-C3N4 phase and nitride phase
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track ISBN: 9783030676667
ECML/PKDD (4)
ECML/PKDD (4)
Predicting user response probability such as click-through rate (CTR) and conversion rate (CVR) accurately is essential to online advertising systems. To obtain accurate probability, calibration is usually used to transform predicted probabilities to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba19449a9c1a8efd771f7836895802e1
https://doi.org/10.1007/978-3-030-67667-4_13
https://doi.org/10.1007/978-3-030-67667-4_13
Autor:
Zhilin Zhang, Jian Xu, Chenrui Zhang, Chuan Yu, Zhenzhe Zheng, Xiangyu Liu, Fan Wu, Junwei Pan, Miao Xu, Kun Gai
Publikováno v:
WSDM
In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize different performance metrics, such as user experience, advertiser utility, and platform revenue. However, most of the state-of-the-art auction mechanisms onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee05f3b80aa8a6dbf3889ad4850f0d67
http://arxiv.org/abs/2012.02930
http://arxiv.org/abs/2012.02930