🛍 A real-world e-commerce dataset for session-based recommender systems research.

Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

Some common recommendation system baseline, with description and link.

[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec

Source code and data for "Fusing Skips and Attention: A Novel Architecture for Session-Based Music Recommendation Using Contextual RNNs". Inspired by the STABR and GRU4REC architectures.

Enduring Connection, Trustworthy Foundation, Personalized Experiences, Rewards and Coupons, Easy to maintain, Graph summary, custom report, Tiers and monthly target are main features of this WEB app.