Click-through rate prediction based on feature interaction and behavioral sequence
Author:
Funder
Key Research and Promotion Projects of Henan Province
Key Research Projects of Henan Higher Education Institutions
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-023-02072-5.pdf
Reference49 articles.
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3. Huang T, She Q, Wang Z et al (2020) Gatenet: gating-enhanced deep network for click-through rate prediction. Preprint at arXiv:2007.03519
4. Hou M, Wu L, Chen E et al (2019) Explainable fashion recommendation: A semantic attribute region guided approach. Preprint at arXiv:1905.12862
5. Wang X, Wang L, Wang S et al (2022) Recommending-and-grabbing: a crowdsourcing-based order allocation pattern for on-demand food delivery. IEEE Trans Intell Transp Syst 24(1):838–853
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