Learning node embeddings in transaction networks
"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...
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| Format: | Online Video |
| Language: | Inglés |
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[Austin, Texas] :
Data Science Salon
2020.
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822836006719 |
| Summary: | "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."--Resource description page. |
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| Item Description: | Title from resource description page (Safari, viewed November 3, 2020). Place of publication from title screen. |
| Physical Description: | 1 online resource (1 streaming video file (21 min., 22 sec.)) : digital, sound, color |
