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Deep Learning
NVIDIA Merlin
NVIDIA Merlin is a series of open source tools for accelerating ETL, training and deployment of recommender systems entirely on GPU.
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Deep Learning
Ann Spencer US
in
NVIDIA Merlin
Jun 13
Insights from Netflix: An Interview with Ding Tong, Senior Research Scientist
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12
Benedikt Schifferer
in
NVIDIA Merlin
Jan 11, 2023
Solving the Cold-Start Problem using Two-Tower Neural Networks for NVIDIA’s E-Mail Recommender Systems
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34
1 response
Benedikt Schifferer
in
NVIDIA Merlin
Dec 7, 2022
Data Cleaning and Preprocessing for Recommender Systems based on NVIDIA’s Use Case
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58
Benedikt Schifferer
in
NVIDIA Merlin
Nov 2, 2022
How to build a recommender system: A real Use Case to personalize E-Mail campaigns
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85
1 response
Radek Osmulski
in
NVIDIA Merlin
Jun 21, 2022
Scale faster with less code using Two Tower with Merlin
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82
3 responses
Ronay Ak
in
NVIDIA Merlin
Jun 6, 2022
Recommender Models: Reducing Friction with Merlin Models
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63
Even Oldridge
in
NVIDIA Merlin
Apr 14, 2022
Recommender Systems, Not Just Recommender Models
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918
5 responses
Benedikt Schifferer
in
NVIDIA Merlin
Sep 29, 2021
Optimizing Meituan’s Machine Learning Platform: An Interview with Jun Huang
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12
Gabriel Moreira
in
NVIDIA Merlin
Sep 24, 2021
Transformers4Rec: A flexible library for Sequential and Session-based recommendation
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400
2 responses
Ann Spencer US
in
NVIDIA Merlin
Sep 1, 2021
Leading Design and Development of the Advertising Recommender System at Tencent: An Interview with Xiangting Kong
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12
