Semantic Understanding for Contextual In-Video Advertising

Abstract

With the increasing consumer base of online video content, it is important for advertisers to understand the video context when targeting video ads to consumers. To improve the consumer experience and quality of ads, key factors need to be considered such as (i) ad relevance to video content (ii) where and how video ads are placed, and (iii) non-intrusive user experience. We propose a framework to semantically understand the video content for better ad recommendation that ensure these criteria.

Cite

Text

Madhok et al. "Semantic Understanding for Contextual In-Video Advertising." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12133

Markdown

[Madhok et al. "Semantic Understanding for Contextual In-Video Advertising." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/madhok2018aaai-semantic/) doi:10.1609/AAAI.V32I1.12133

BibTeX

@inproceedings{madhok2018aaai-semantic,
  title     = {{Semantic Understanding for Contextual In-Video Advertising}},
  author    = {Madhok, Rishi and Mujumdar, Shashank and Gupta, Nitin and Mehta, Sameep},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {8115-8116},
  doi       = {10.1609/AAAI.V32I1.12133},
  url       = {https://mlanthology.org/aaai/2018/madhok2018aaai-semantic/}
}