August 03, 2018

TripAdvisor taps machine learning to auto-select primary hotel photos


TripAdvisor has launched a new feature for primary property photos, which uses machine learning to auto select high-performing images for accommodation listings.

You may have seen those badly taken photos on TripAdvisor; a slightly blurred selfie in a corridor; a close-up of the bathroom taps at a B&B; or even a picture of a road outside an inn that could be anywhere. These badly taken shots could end up as the primary photo for an accommodation business on TripAdvisor when an owner neglects to choose the proper photo.

“We know that good photos are a key part in attracting new guests,” said Martin Verdon-Roe, VP B2B hotel product and marketing, TripAdvisor. “According to research, 79% of TripAdvisor travellers said that photos were important when choosing to book an accommodation and in more recent live site testing with partners, we can see that optimised photo selection has been shown to increase user click-through rates.”

To help businesses on the platform choose the right photo, TripAdvisor launched a new auto-select feature for primary photos. The update uses advanced machine learning technology to evaluate and select the best available primary photo for the business, considering both professional and traveller photos.

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