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Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction

Autor: Liu, Qi, Tang, Xingyuan, Huang, Jianqiang, Yu, Xiangqian, Jin, Haoran, Chen, Jin, Pu, Yuanhao, Lian, Defu, Qu, Tan, Wang, Zhe, Cheng, Jia, Lei, Jun

Natural content and advertisement coexist in industrial recommendation systems but differ in data distribution. Concretely, traffic related to the advertisement is considerably sparser compared to that of natural content, which motivates the developm

Externí odkaz: http://arxiv.org/abs/2408.16238

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Deep Context Interest Network for Click-Through Rate Prediction

Autor: Hou, Xuyang, Wang, Zhe, Liu, Qi, Qu, Tan, Cheng, Jia, Lei, Jun

Click-Through Rate (CTR) prediction, estimating the probability of a user clicking on an item, is essential in industrial applications, such as online advertising. Many works focus on user behavior modeling to improve CTR prediction performance. Howe

Externí odkaz: http://arxiv.org/abs/2308.06037

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Akademický článek

Analysis of radiation force on a uniaxial anisotropic sphere by dual zero-order Bessel beams

Autor: Li, Shun, Li, Zheng-Jun, Li, Hai-Ying, Qu, Tan, Yang, Xiao-Jing

Publikováno v: In Optics Communications 1 February 2023 528

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Akademický článek

A generic, cluster-centred lossless compression framework for joint auroral data

Autor: Shang, Kun, Kong, Wanqiu, Qu, Tan, Hu, Zejun, Wu, Jiaji, Pedrycz, Witold

Publikováno v: In Journal of Visual Communication and Image Representation July 2021 78

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The usability of graphical user interfaces of mobile computing devices designed for construction foremen icons and predefined text lists compared

Autor: Qu, Tan.

Thesis (Ph. D.)--University of Florida, 2006.
Title from title page of source document. Document formatted into pages; contains 220 pages. Includes vita. Includes bibliographical references.

Externí odkaz: http://purl.fcla.edu/fcla/etd/UFE0013729

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Akademický článek

Diagnostic Model of Superficial Lymph Nodes Based on Clinical History and Ultrasound Findings: A Prospective Cohort Study

Autor: Xiao-Qu Tan, Lin-Xue Qian, Jun-Feng Zhao, Peng-Fei Sun, Qing-Qing Li, Ruo-Xuan Feng

Publikováno v: Frontiers in Oncology, Vol 11 (2022)

ObjectivesDifferentiation of benign and malignant changes in lymph nodes is extremely important. We aimed to identify the ultrasound and clinical diagnostic criteria permitting this differentiation.MethodsClinical and ultrasound data were collected a

Externí odkaz: https://doaj.org/article/612153f6c0c2422cb3f90d7392c50459

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