Fine-grained image classification with factorized deep user click feature

Author:

Tan Min,Zhou Jian,Peng Zhiyou,Yu Jun,Tang Fang

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference34 articles.

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1. PFN: A Target Item-enhanced Click-Through Rate Prediction via Parallel Fusion Network;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

2. CFF: combining interactive features and user interest features for click-through rate prediction;The Journal of Supercomputing;2023-09-04

3. Adaptive Destruction Learning for Fine-grained Visual Classification;2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2022-09-12

4. Click-through rate prediction in online advertising: A literature review;Information Processing & Management;2022-03

5. Extending ImageNet to Arabic using Arabic WordNet;Multimedia Tools and Applications;2022-02-07

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