Real-time Periodic Advertisement Recommendation Optimization under Delivery Constraint using Quantum-inspired Computer

Fan Mo, Huida Jiao, Shun Morisawa, Makoto Nakamura, Koichi Kimura, Hisanori Fujisawa, Masafumi Ohtsuka, Hayato Yamana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For commercial companies, tuning advertisement delivery to achieve a high conversion rate (CVR) is crucial for improving advertising effectiveness. Because advertisers use demand-side platforms (DSP) to deliver a certain number of ads within a fixed period, it is challenging for DSP to maximize CVR while satisfying delivery constraints such as the number of delivered ads in each category. Although previous research aimed to optimize the combinational problem under various constraints, its periodic updates remained an open question because of its time complexity. Our work is the first attempt to adopt digital annealers (DAs), which are quantum-inspired computers manufactured by Fujitsu Ltd., to achieve real-time periodic ad optimization. With periodic optimization in a short time, we have much chance to increase ad recommendation precision. First, we exploit each user’s behavior according to his visited web pages and then predict his CVR for each ad category. Second, we transform the optimization problem into a quadratic unconstrained binary optimization model applying to the DA. The experimental evaluations on real log data show that our proposed method improves accuracy score from 0.237 to 0.322 while shortening the periodic advertisement recommendation from 526s to 108s (4.9 times speed-up) in comparison with traditional algorithms.

Original languageEnglish
Title of host publicationICEIS 2021 - Proceedings of the 23rd International Conference on Enterprise Information Systems
EditorsJoaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi
PublisherScience and Technology Publications, Lda
Pages431-441
Number of pages11
ISBN (Electronic)9789897585098
Publication statusPublished - 2021
Event23rd International Conference on Enterprise Information Systems, ICEIS 2021 - Virtual, Online
Duration: 2021 Apr 262021 Apr 28

Publication series

NameInternational Conference on Enterprise Information Systems, ICEIS - Proceedings
Volume1
ISSN (Electronic)2184-4992

Conference

Conference23rd International Conference on Enterprise Information Systems, ICEIS 2021
CityVirtual, Online
Period21/4/2621/4/28

Keywords

  • Advertisement Recommendation
  • Computational Advertisement
  • Digital Annealer
  • Real-time Bidding

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Information Systems and Management

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