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http://bura.brunel.ac.uk/handle/2438/23132
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Zou, D | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Zhang, L | - |
dc.contributor.author | Zou, J | - |
dc.contributor.author | Li, Q | - |
dc.contributor.author | Chen, Y | - |
dc.contributor.author | Sheng, W | - |
dc.date.accessioned | 2021-08-30T09:32:50Z | - |
dc.date.available | 2021-10-01 | - |
dc.date.available | 2021-08-30T09:32:50Z | - |
dc.date.issued | 2021-06-29 | - |
dc.identifier.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. | en_US |
dc.identifier.issn | 0020-0255 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23132 | - |
dc.description.sponsorship | National Natural Science Foundation of China (grant nos. 61873082, 62003121 and 61973102); Zhejiang Provincial Natural Science Foundation of China (grant no. LQ20F030014); Royal Society of the UK. | en_US |
dc.format.extent | 128 - 139 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier BV | en_US |
dc.subject | click-through rate | en_US |
dc.subject | neural network | en_US |
dc.subject | feature interaction | en_US |
dc.subject | relation tensor | en_US |
dc.title | Deep Field Relation Neural Network for click-through rate prediction | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.ins.2021.06.079 | - |
dc.relation.isPartOf | Information Sciences | - |
pubs.publication-status | Pulbished | - |
pubs.volume | 577 | - |
dc.identifier.eissn | 1872-6291 | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Embargoed until 29 Jun 2023 | 802.36 kB | Adobe PDF | View/Open |
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