CROSS DOMAIN COLLABORATIVE FILTERING RECOMMENDER USING PROBABILISTIC MATRIX FACTORIZATION | Zendy

Nazima Khanam | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

CROSS DOMAIN COLLABORATIVE FILTERING RECOMMENDER USING PROBABILISTIC MATRIX FACTORIZATION

Author(s) -

Nazima Khanam

Publication year - 2017

Publication title -

international journal of advanced research in computer science

Language(s) - Uncategorized

Resource type - Journals

ISSN - 0976-5697

DOI - 10.26483/ijarcs.v8i9.4897

Subject(s) - computer science , collaborative filtering , recommender system , benchmark (surveying) , exploit , matrix decomposition , probabilistic logic , domain (mathematical analysis) , focus (optics) , cold start (automotive) , preference , face (sociological concept) , information retrieval , machine learning , data mining , artificial intelligence , statistics , mathematics , mathematical analysis , eigenvalues and eigenvectors , physics , computer security , geodesy , engineering , quantum mechanics , aerospace engineering , optics , geography , social science , sociology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research