Difference between revisions of "Matrix Factorization"
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[http://www.youtube.com/results?search_query=Matrix+Factorization+Recommendation Youtube search...] | [http://www.youtube.com/results?search_query=Matrix+Factorization+Recommendation Youtube search...] | ||
[http://www.google.com/search?q=Matrix+Factorization+Recommendation ...Google search] | [http://www.google.com/search?q=Matrix+Factorization+Recommendation ...Google search] | ||
| − | * [[ | + | |
| − | + | * [[Embedding]]: [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]] ... [[...find outliers]] | |
* [[AI Solver]] | * [[AI Solver]] | ||
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* [[Alternating Least Squares (ALS)]] | * [[Alternating Least Squares (ALS)]] | ||
* [[http://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems) Matrix factorization (recommender systems) | Wikipedia] | * [[http://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems) Matrix factorization (recommender systems) | Wikipedia] | ||
Revision as of 20:08, 7 July 2023
Youtube search... ...Google search
- Embedding: Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction ... ...find outliers
- AI Solver
- Alternating Least Squares (ALS)
- [Matrix factorization (recommender systems) | Wikipedia
a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item interaction matrix into the product of two lower dimensionality rectangular matrices
