Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23132| Title: | Deep Field Relation Neural Network for click-through rate prediction |
| Authors: | Zou, D Wang, Z Zhang, L Zou, J Li, Q Chen, Y Sheng, W |
| Keywords: | click-through rate;neural network;feature interaction;relation tensor |
| Issue Date: | 29-Jun-2021 |
| Publisher: | Elsevier BV |
| Citation: | Zou, D., Wang, Z., Zhang, L., Zou, J., Li, Q., Chen, Y. and Sheng, W. (2021) 'Deep Field Relation Neural Network for click-through rate prediction', Information Sciences, 577, pp. 128-139. doi: 10.1016/j.ins.2021.06.079. |
| URI: | https://bura.brunel.ac.uk/handle/2438/23132 |
| DOI: | https://doi.org/10.1016/j.ins.2021.06.079 |
| ISSN: | 0020-0255 |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 29 Jun 2023 | 802.36 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.