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Data Analytics: Movie recommendation using context aware matrix factorisation

Dataset: LDOS comoda

To determine movie ratings for recommendation using context information like season, mood etc

the methodology includes context aware matrix factorisation and effective feature selection method.

Matrix factorisation has to be performed including contextual features along with the user and item provided in the dataset to predicting the ratings.

Most important contextual features are to be selected using a feature selection methodology.

Квалификация: Data Analytics, Python

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О работодателе:
( 0 отзыв(-а, -ов) ) Dubai, United Arab Emirates

ID проекта: #20352764

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