all AI news
Recommender Systems: Lessons From Building and Deployment
Aug. 25, 2022, 4:15 p.m. | Dhruvil Karani
Blog - neptune.ai neptune.ai
If you look at recommender systems papers, a large number of them come from the industry instead of academia. This is because RecSys is actually a practical problem. RecSys for e-commerce could be considerably different than RecSys for social media, as the business objectives differ. In addition, every novel idea needs to be tested in […]
The post Recommender Systems: Lessons From Building and Deployment appeared first on neptune.ai.
building deployment ml model development mlops recommender systems systems
More from neptune.ai / Blog - neptune.ai
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US