Hotel reservations are one of the most popular online transactions. And with good reason: Expedia is one of the most reliable and trusted sources for finding a room. But what happens when someone tries to book a hotel room using an image search? For years, Expedia’s image search results have been dominated by…photos of hotels.

But that’s beginning to change. As AI continues to improve, businesses are starting to use deep learning algorithms to rank photos and videos instead of just text. In this blog post, we will show you how to train your own deep-learning model and use it to rank images of hotels on Expedia.

How the Expedia AI Image Ranking Model Works

PDF] Combination of Diverse Ranking Models for Personalized Expedia Hotel  Searches | Semantic Scholar

The Expedia AI Image Ranking Model works by training a deep learning algorithm on a large dataset of hotel images. This algorithm is then used to determine the best images for a given search term. The algorithm judges each image based on a number of factors, including content, layout, and popularity.

This model has been proved to be effective in ranking hotel images. In fact, it has been able to outperform traditional methods like human evaluation and ratings. This is due to the deep learning algorithm’s ability to analyze complex patterns in the data.

In addition, this model can also be used to generate recommendations for guests. For instance, if you’re looking for hotels in your city, the AI Image Ranking Model could suggest some options that you may not have considered before.

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Results of the Expedia AI Image Ranking Model

Personalized Ranking Model for Lodging | by Debraj G. | Expedia Group  Technology | Medium
The Expedia AI Image Ranking Model is a deep learning application that uses convolutional neural networks (CNNs) to automatically rank hotel images. The model was trained on a dataset of 3,000 randomly selected hotel images from the Expedia website.

The results of the model were compared to two other popular ranking models: the Kaggle ImageNet classification challenge winner and the Google Images classification challenge winner. The results showed that the Expedia AI Image Ranking Model was able to correctly rank hotel images with higher accuracy than both of those models.

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Expedia is a huge company, and they use a lot of images on their website. You might be wondering how you can Rank Hotel Images like Expedia does. In this article, we will show you how to do it with deep learning using TensorFlow. By the end of this tutorial, you will have learned how to: 1) Load an image into TensorFlow 2) Train a model using deep learning 3) Evaluate the performance of the model