Near Real-Time Netflix Recommendations using Apache Spark (Nitin Sharma and Elliot Chow)
Автор: Databricks
Загружено: 2018-09-27
Просмотров: 4071
Nitin Sharma, a Senior Software Engineer at Netflix, and Elliot Chow, a software engineer at Netflix, explain a data-driven company, we use Machine learning based algos and A/B tests to drive all of the content recommendations for our members. Traditionally, these recommendations are precomputed in a batch processing fashion, but such a model cannot react quickly based on member interactions, title interests, popularity etc. With an ever-growing Netflix catalog, finding the right content for our audience in near real-time would provide the best personalized experience.
Learn more here: https://databricks.com/session/near-r...
Article you might like: https://databricks.com/session/optimi...
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unifie...
Connect with us:
Website: https://databricks.com
Facebook: / databricksinc
Twitter: / databricks
LinkedIn: / databricks
Instagram: / databricksinc Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: