Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23132
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dc.contributor.authorZou, D-
dc.contributor.authorWang, Z-
dc.contributor.authorZhang, L-
dc.contributor.authorZou, J-
dc.contributor.authorLi, Q-
dc.contributor.authorChen, Y-
dc.contributor.authorSheng, W-
dc.date.accessioned2021-08-30T09:32:50Z-
dc.date.available2021-10-01-
dc.date.available2021-08-30T09:32:50Z-
dc.date.issued2021-06-29-
dc.identifier.citationZou, 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.issn0020-0255-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23132-
dc.description.sponsorshipNational 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.extent128 - 139-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.subjectclick-through rateen_US
dc.subjectneural networken_US
dc.subjectfeature interactionen_US
dc.subjectrelation tensoren_US
dc.titleDeep Field Relation Neural Network for click-through rate predictionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.ins.2021.06.079-
dc.relation.isPartOfInformation Sciences-
pubs.publication-statusPulbished-
pubs.volume577-
dc.identifier.eissn1872-6291-
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