Context-Aware Ad Contents Scheduling over DOOH Networks based on Factorization Machine
- Authors
- Van Hoang Nguyen; Thanh Binh Nguyen; 정선태
- Issue Date
- Apr-2019
- Publisher
- 한국멀티미디어학회
- Citation
- 멀티미디어학회논문지, v.22, no.4, pp.515 - 526
- Journal Title
- 멀티미디어학회논문지
- Volume
- 22
- Number
- 4
- Start Page
- 515
- End Page
- 526
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/34699
- DOI
- 10.9717/kmms.2019.22.4.515
- ISSN
- 1229-7771
- Abstract
- DOOH(Digital Out Of Home) advertising targets for reaching consumers through outdoor digital display medias. Traditionally, scheduling of advertisement contents over DOOH medias is usually done by operator’s strategy, but an efficient ad scheduling strategy is not easy to find under various advertising contexts. In this paper, we present a context-aware factorization machine-based recommendation model for the scheduling under various advertising contexts, and provide analysis for understanding of the contexts’ effects on advertising based on the recommendation model. Through simulation results on the dataset adapted from a real dataset of RecSys challenge 2015, it is shown that the proposed model and analysis based on the model will be effective for better scheduling of ad contents under advertising contexts over DOOH networks.
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