Netflix Recommendation Engine
GPTKB entity
Statements (73)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Recommendation
|
| gptkbp:awarded |
gptkb:Netflix_Prize
|
| gptkbp:developedBy |
gptkb:Netflix
|
| https://www.w3.org/2000/01/rdf-schema#label |
Netflix Recommendation Engine
|
| gptkbp:improves |
content discovery
user engagement user retention |
| gptkbp:influenced |
80% of content watched
|
| gptkbp:launched |
2006
|
| gptkbp:updated |
continuously
|
| gptkbp:usedFor |
personalized content recommendation
|
| gptkbp:uses |
gptkb:machine_learning
gptkb:reinforcement_learning deep learning natural language processing neural networks metadata user profiles A/B testing ranking algorithms collaborative filtering image analysis location data audio analysis time of day ensemble models matrix factorization device type user ratings content-based filtering explicit feedback implicit feedback personalized ranking user feedback personalized search results search data similarity scores personalized homepage personalized notifications multi-armed bandit algorithms graph analysis contextual bandits viewing history cold start problem solutions completion rates diversity optimization genre preferences long tail content promotion novelty optimization personalized artwork personalized continue watching personalized recommendations for TV shows personalized recommendations for documentaries personalized recommendations for families personalized recommendations for genres personalized recommendations for kids personalized recommendations for movies personalized recommendations for new releases personalized recommendations for originals personalized rows personalized top picks personalized trailers personalized trending now popularity trends rewatch behavior serendipity optimization session duration skip behavior thumbnail selection user behavior data personalized recommendations for international content |
| gptkbp:bfsParent |
gptkb:Recommender_Systems
|
| gptkbp:bfsLayer |
7
|