New era recommendations engine utilizes the sequences of data rather than just the user history. The sequence based recommender engine utilizes models from NLP to analyze user behavior within a session
Potential Use Cases
Retail Users Behavior, Next best item
Who is This For ?
Click on each of the following annotated items to see details.
ARTICLE 1. Sequence Analysis in Recommender Engine
How does Amazon, Netflix, YouTube finds the next best item for a given user
ARTICLE 2. Introduction to Sequence Modeling Problems
Different types of Seqeuence Modeeling and the differences among them?
PAPER 3. Recurrent Neural Networks with Top-k Gains for Session-basedRecommendations
How rNNwith top-k gains can help in ranking problem
PAPER 4. BERT4REC
How can bi-directionality help with next item recommendations
LIBRARY 5. BERT4REC code
A foundational paper that helps to understand how BERT can be used in recommendations problems
PAPER 6. SessNet
How to combine the user history and the sequence modelling into one network