# Recommender Systems: Content-based, Social recommendations and Collaborative filtering

DevFeed: [Recommender Systems: Content-based, Social recommendations and Collaborative filtering](<https://devfeed.tech/articles/recommender-systems-content-based-social-recommendations-and-collaborative-filtering-20733.md>)

Original publisher: [Read original article](<https://blog.fedecarg.com/2016/06/26/recommender-systems-content-based-social-recommendations-and-collaborative-filtering/>)

Author: Federico

Published: 2016-06-26T13:50:00Z

Content type: article

Language: en

Sources: [Federico Cargnelutti](<https://devfeed.tech/sources/federico-cargnelutti.md>)

Topics: [recommendation systems](<https://devfeed.tech/topics/recommendation-systems.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [programming](<https://devfeed.tech/tags/programming.md>), [recommender-systems](<https://devfeed.tech/tags/recommender-systems.md>), [software-architecture](<https://devfeed.tech/tags/software-architecture.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [web-development](<https://devfeed.tech/tags/web-development.md>)

## AI overview

This article explains recommender systems for video-on-demand services. It introduces content-based analysis, social recommendations, and collaborative filtering, and notes that platforms often combine these approaches in hybrid systems.

## Source excerpt

With the proliferation of video on-demand streaming services, viewers face a big challenge: finding content across multiple screens and apps. There may be quality information available online but it may be difficult to find. Traditionally, viewers resort to "app switching" which can be frustrating when it comes to finding quality content. With the emergence of [...]