Concept to code

Omprakash Sonie, Sudeshna Sarkar, Surender Kumar · 2018

Recommender Systems fuel e-commerce. Deep Learning techniques have started to make an impact in building recommenders. Many techniques have been proposed recently to create low dimensional embeddings of heterogeneous sources including users, items, text and images that can capture the semantic relationships between them. Such combined embeddings play a very important role in the effectiveness of a Recommender System.

Read the paper · More papers on PaperTik