all AI news
DoorDash Eng Blog: Augmenting fuzzy matching with human review to maximize precision and recall
Oct. 19, 2022, 12:21 a.m. | /u/chikinn
Natural Language Processing www.reddit.com
I recently solved a business problem at DoorDash: we needed a way to onboard new advertisers (brands that sell products at convenience/grocery stores) at scale, without having to manually identify all their products that are available on DoorDash. We used a fuzzy-matching classifier with a human in the loop.
The part I find the most interesting is how we were able to take an out-of-the-box fuzzy matching algorithm and – with relatively little technical effort – tweak it to …
blog doordash human languagetechnology precision recall review
More from www.reddit.com / Natural Language Processing
Which NLP-master programs in Europe are more cs-leaning?
2 days, 22 hours ago |
www.reddit.com
What do you think is the state of the art technique for matching a piece …
4 days, 20 hours ago |
www.reddit.com
Multilabel text classification on unlabled data
5 days, 10 hours ago |
www.reddit.com
Did we just receive an AI-generated meta-review?
1 week, 3 days ago |
www.reddit.com
Found a Way to Keep Transcripts Going 24/7
1 week, 3 days ago |
www.reddit.com
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Sr. Software Development Manager, AWS Neuron Machine Learning Distributed Training
@ Amazon.com | Cupertino, California, USA