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Found 6 papers, 1 papers with code
Uplift Modeling: from Causal Inference to Personalization
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels.
Extending Open Bandit Pipeline to Simulate Industry Challenges
Bandit algorithms are often used in the e-commerce industry to train Machine Learning (ML) systems when pre-labeled data is unavailable.
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling
Promotions and discounts are essential components of modern e-commerce platforms, where they are often used to incentivize customers towards purchase completion.
With One Voice: Composing a Travel Voice Assistant from Re-purposed Models
Voice assistants provide users a new way of interacting with digital products, allowing them to retrieve information and complete tasks with an increased sense of control and flexibility.
Social Network Analysis: From Graph Theory to Applications with Python
This talk will covers the theory of social network analysis, with a short introduction to graph theory and information spread.
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
Promotions and discounts have become key components of modern e-commerce platforms.
