# Challenges in Search on Streaming Services: Netflix Case Study

arXiv: https://arxiv.org/abs/1903.04638 · HTML: https://mlsanity.com/paper/1903.04638/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Mar 2019.

## Built on by (most cited first, 2 of 2)

- [Augmenting Netflix Search with In-Session Adapted Recommendations](https://mlsanity.com/paper/2206.02254/) (2022)
- [Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)](https://mlsanity.com/paper/2408.10394/) (2024)

## Abstract (arXiv)

We discuss salient challenges of building a search experience for a streaming media service such as Netflix. We provide an overview of the role of recommendations within the search context to aid content discovery and support searches for unavailable (out-of-catalog) entities. We also stress the importance of keystroke-level instant search experience, and the technical challenges associated with implementing it across different devices and languages for a global audience.