Difference between revisions of "Matrix Factorization"
m |
m |
||
| Line 16: | Line 16: | ||
[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]] | * [[Embedding]]: [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]] ... [[...find outliers]] | ||
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
