JointCTR: a joint CTR prediction framework combining feature interaction and sequential behavior learning

Applied Intelligence ◽

10.1007/s10489-021-02678-8 ◽

2021 ◽

Author(s):

Cairong Yan ◽

Xiaoke Li ◽

Yizhou Chen ◽

Yanting Zhang

Keyword(s):

Feature Interaction ◽

Sequential Behavior ◽

Behavior Learning

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Concepts—Behavior—Learning

Contemporary Psychology ◽

10.1037/006300 ◽

1960 ◽

Vol 5 (5) ◽

pp. 145-146

Author(s):

ERNEST R. HILGARD

Keyword(s):

Behavior Learning

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Review of Child behavior: Learning and development.

Contemporary Psychology ◽

10.1037/015039 ◽

1976 ◽

Vol 21 (3) ◽

pp. 224-224

Author(s):

JEANNE H. BLOCK

Keyword(s):

Child Behavior ◽

Learning And Development ◽

Behavior Learning

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A Study on the Learning Behavior, Learning Style, and Academic Achievement in Mobile Learning of University e-Learning learners

Korean Association for Educational Information and Media ◽

10.15833/kafeiam.25.3.431 ◽

2019 ◽

Vol 25 (3) ◽

pp. 431-450

Author(s):

Hye Lan Roh ◽

Mina Choi

Keyword(s):

Academic Achievement ◽

Learning Style ◽

Mobile Learning ◽

Learning Behavior ◽

Behavior Learning

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The Effect of Emotional Intelligence, Learning Behavior, Learning and Interest, Self Efficacy on the Level of Understanding Accounting

SSRN Electronic Journal ◽

10.2139/ssrn.3511091 ◽

2019 ◽

Author(s):

Osly Usman ◽

nanine ivana

Keyword(s):

Emotional Intelligence ◽

Self Efficacy ◽

Learning Behavior ◽

Behavior Learning ◽

Level Of Understanding

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GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction

Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ◽

10.1145/3404835.3463116 ◽

2021 ◽

Author(s):

Hongliang Fei ◽

Jingyuan Zhang ◽

Xingxuan Zhou ◽

Junhao Zhao ◽

Xinyang Qi ◽

...

Keyword(s):

Neural Networks ◽

Feature Interaction

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Online group streaming feature selection considering feature interaction

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107157 ◽

2021 ◽

pp. 107157

Author(s):

Peng Zhou ◽

Ni Wang ◽

Shu Zhao

Keyword(s):

Feature Selection ◽

Feature Interaction ◽

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Attention-based dynamic user preference modeling and nonlinear feature interaction learning for collaborative filtering recommendation

Applied Soft Computing ◽

10.1016/j.asoc.2021.107652 ◽

2021 ◽

pp. 107652

Author(s):

Ruiqin Wang ◽

Yunliang Jiang ◽

Jungang Lou

Keyword(s):

Collaborative Filtering ◽

User Preference ◽

Feature Interaction ◽

Preference Modeling ◽

Nonlinear Feature

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Automated repair of feature interaction failures in automated driving systems

Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis ◽

10.1145/3395363.3397386 ◽

2020 ◽

Author(s):

Raja Ben Abdessalem ◽

Annibale Panichella ◽

Shiva Nejati ◽

Lionel C. Briand ◽

Thomas Stifter

Keyword(s):

Feature Interaction ◽

Automated Driving

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A Novel Driving Behavior Learning and Visualization Method With Natural Gaze Prediction

IEEE Access ◽

10.1109/access.2021.3054951 ◽

2021 ◽

Vol 9 ◽

pp. 18560-18568

Author(s):

Guoliang Yuan ◽

Yafei Wang ◽

Jinjia Peng ◽

Xianping Fu

Keyword(s):

Driving Behavior ◽

Visualization Method ◽

Behavior Learning ◽

Gaze Prediction

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Deep Feature Interaction Embedding for Pair Matching Prediction

Proceedings of the ACM Multimedia Asia on ZZZ ◽

10.1145/3338533.3366597 ◽

2019 ◽

Author(s):

Luwei Zhang ◽

Xueting Wang ◽

Toshihiko Yamasaki

Keyword(s):

Feature Interaction ◽

Deep Feature ◽

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