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1
Intro
2
NLP in Semantic Search
3
Why Now?
4
Transformer Models
5
Sentence Transformers
6
Vector Search
7
How Spotify Built Podcast Search
8
Data Source, Fine-tuning, and Eval
9
Code Implementation, Dataset
10
Data Preparation
11
Query Generation
12
Fine-tuning a Podcast Model
13
Evaluation
14
Does it Scale?
15
Sharing Your Work
Description:
Explore the inner workings of Spotify's podcast search functionality and learn how to implement a similar system in this 50-minute video. Dive into the world of natural language processing in semantic search, understanding the rise of transformer models and sentence transformers. Discover how Spotify built their podcast search, including data sourcing, fine-tuning, and evaluation processes. Follow along with code implementation, dataset preparation, query generation, and model fine-tuning specific to podcasts. Evaluate the system's performance and consider scalability issues. Gain insights into sharing your work and implementing advanced search capabilities in the growing podcast market.

Spotify's Podcast Search Explained

James Briggs
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