Video description
Presented by Jesse Barbour – Chief Data Scientist at Q2ebanking
Due to the specialized and sophisticated nature of many commercially focused financial products offered by banks and fintechs, building recommender systems around those products is especially difficult. Taking inspiration from the field of neural language modeling, we will discuss an application of learning node embeddings on a large-scale financial transaction graph in order to solve this problem.
Table of contents
Product information
- Title: Learning Node Embeddings in Transaction Networks
- Author(s):
- Release date: March 2020
- Publisher(s): Data Science Salon
- ISBN: None
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