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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| Formato: | Vídeo online |
| Idioma: | Inglés |
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[Austin, Texas] :
Data Science Salon
2020.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822836006719 |
| Sumario: | "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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| Notas: | Title from resource description page (Safari, viewed November 3, 2020). Place of publication from title screen. |
| Descripción Física: | 1 online resource (1 streaming video file (21 min., 22 sec.)) : digital, sound, color |
