How Airbnb Uses Deep Learning
6 engineering articles about Deep Learning from Airbnb's engineering team
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Airbnb made significant contributions at the 2024 KDD conference in Barcelona, showcasing research on Deep Learning, Search Ranking, Online Experimentation, and Two-sided Marketplaces.
Huiji Gao
16 min read
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The article discusses how Airbnb utilizes computer vision to analyze listing photos, enhancing the guest experience by optimizing search results based on image aesthetics and design.
Yuanpei Cao
8 min read
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The article discusses the development of an AI-based sentiment model at Airbnb to assess customer service quality, complementing the traditional Net Promoter Score (NPS).
Shuai Shao (Shawn)
12 min read
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The article introduces WIDeText, a multimodal deep learning framework developed by Airbnb to streamline the development and deployment of classification systems.
Wayne Zhang
11 min read
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The article discusses advancements in deep learning techniques used by Airbnb to enhance search ranking for stays.
Malay Haldar
7 min read
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The article discusses the challenges and solutions in applying deep learning to enhance the search ranking mechanism at Airbnb.
Malay Haldar
3 min read
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