Airbnb Knowledge Graph Case Study
Manav Modi
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Airbnb optimizes the search of homestays using Knowledge Graphs. ๐ฅ
Here's how โฌ๏ธ
Quick Context ๐๏ธ
Discovery of what you ๐ฐ๐๐ง๐ญ and ๐ง๐๐๐ to know about a destination is crucial to a user for the overall trip experience, especially in edge cases where the user is traveling to a place they have never been to before.
To provide relevant context, the need is for a way to represent relationships between ๐๐ข๐ฌ๐ญ๐ข๐ง๐๐ญ ๐๐ฎ๐ญ ๐ซ๐๐ฅ๐๐ญ๐๐ ๐๐ง๐ญ๐ข๐ญ๐ข๐๐ฌ on Airbnb.
Enter Knowledge Graphsโฆ
According to Airbnbโs Brian Chesky, the key to creating an 11-star experience is going beyond just providing a welcoming homestay on a trip. This leads us back to Product 101- Understanding the users and their needs. โฎ๏ธ
Knowledge Graphs optimize the search and discovery for Airbnb. Google has successfully used it to power its search engine and surface relevant context for particular queries.
In today's edition of ProductX, letโs understand the science behind this! โ
Why is a graph structure scalable? ๐
How is the โGraphโ fundamentally structured? ๐ง
What is the Airbnb Infrastructure used to implement this? ๐๏ธ
Where can the use of knowledge graphs be visualized live? ๐ฒ
A deep dive down the rabbit hole, insights into the key systems design decisions, and what we can learn from the Airbnb Knowledge Graph case study have been covered in today's edition of ProductX.
Link to the free read: https://bit.ly/productx-airbnb
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