Difference between revisions of "Matrix Factorization"

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[http://www.google.com/search?q=Matrix+Factorization+Recommendation ...Google search]
 
[http://www.google.com/search?q=Matrix+Factorization+Recommendation ...Google search]
  
* [[Embedding]] ... [[Fine-tuning]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]].  [[...find outliers]]
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* [[Embedding]] ... [[Fine-tuning]] ... [[Retrieval-Augmented Generation (RAG)|RAG]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]].  [[...find outliers]]
* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Optimizer]] ... [[Train, Validate, and Test]]
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* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]]
 
* [[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]

Latest revision as of 22:57, 5 March 2024

Youtube search... ...Google search

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

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