Improving TripAdvisor Photo Selection With Deep Learning

Gregory Amis posted November 18, 2017
The newly redesigned emphasizes traveler photos throughout the site, but not all of these photos are useful in every situation. Deep Learning networks provide an excellent opportunity for us to improve our users’ experience by highlighting the most attractive and useful photos for varying presentation contexts. This post will discuss our approach for gathering training data, developing a model, and scaling it up to over 110 million photos and…
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Which of TripAdvisor’s reviews are actually helpful?

Gregory Amis posted July 10, 2015
At TripAdvisor, we use machine learning to assess whether a user’s review is substantive and helpful to other users. This article describes our motivations, technology, and results. Problem description TripAdvisor members submit nearly one million reviews every week. We want to publish only the reviews that are helpful to other travelers, but our moderation team can’t possibly read every submitted review. If we can programmatically score a review’s helpfulness, we…
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