An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.
Generating actionable suggestions for improving user engagement with online advertisements / Trevisiol, Michele; Tolomei, Gabriele; Barbieri, Nicola; Lalmas, Mounia; Mohan Sangal, Puneet; Silvestri, Fabrizio. - (2015).
Generating actionable suggestions for improving user engagement with online advertisements
Gabriele Tolomei;Fabrizio Silvestri
2015
Abstract
An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
