Chapter
Analyzing Video Recommendations on YouTube
23:23 - 30:42 (07:19)
The related graph on YouTube represents videos that are similar or related, with videos frequently watched by the same people placed closer together, and those that do not frequently get watched by the same people placed farther apart, making it easier for the platform to recommend videos to bilingual users.
Clips
This podcast episode delves into how YouTube creates a graph that connects videos based on user viewing activity, resulting in a related graph that clusters similar or related videos together, enabling better video recommendations.
23:23 - 27:16 (03:53)
Summary
This podcast episode delves into how YouTube creates a graph that connects videos based on user viewing activity, resulting in a related graph that clusters similar or related videos together, enabling better video recommendations.
ChapterAnalyzing Video Recommendations on YouTube
EpisodeCristos Goodrow: YouTube Algorithm
PodcastLex Fridman Podcast
This podcast delves into how collaborative filtering helps YouTube suggest relevant videos to users based on their language preferences and viewing history.
27:16 - 28:33 (01:17)
Summary
This podcast delves into how collaborative filtering helps YouTube suggest relevant videos to users based on their language preferences and viewing history.
ChapterAnalyzing Video Recommendations on YouTube
EpisodeCristos Goodrow: YouTube Algorithm
PodcastLex Fridman Podcast
YouTube has experimented with cluster ideas to show users what topics they have been interested in and what clusters they have watched from, as a tangent to the way recommendation systems see the history of all videos a user has watched.
28:33 - 30:42 (02:09)
Summary
YouTube has experimented with cluster ideas to show users what topics they have been interested in and what clusters they have watched from, as a tangent to the way recommendation systems see the history of all videos a user has watched.