Semantic Search Applications

Semantic search powers more and more industrial applications, including recommendation, and document/image/audio/video retrieval.

(1) Amazon related product recommendation

Figure 1 shows the Amazon “Products related to this item” section of a book called “What Should Danny Do? On Vacation”. This section does semantic search on embedding for product title and images.

From the article linked to Google search, it mentioned that BERT model is used to capture semantic of featured snippets in search to produce better results.

Facebook enables semantic search to show visually similar items. Pinterest also surfaces most relevant Pins users see online and offline by visual search.

Spotify applies semantic search to find related podcasts.

(5) Youtube video search/recommendation

As we can see from the above use cases, semantic search can handle huge use cases (like Youtube having almost 1B videos) in a scalable way.

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