recommendations at reasonable scale in a (mostly) serverless and open stack.
Published 2 years ago • 153 plays • Length 15:03Download video MP4
Download video MP3
Similar videos
-
19:20
recsysops: best practices for operating a large-scale recommender system
-
19:27
challenges experienced in public service media recommendation systems
-
2:36
parallel computing & ai: making the complex simple
-
15:40
online learning for recommendations at grubhub
-
58:46
recommender systems: basics, types, and design consideration
-
37:09
real-time search and recommendation at scale using embeddings and hopsworks
-
32:00
trends in recommendation & personalization at netflix
-
14:29
session-aware linear item-item models for session-based recommendation
-
19:39
fairness in reviewer recommendations at elsevier
-
14:37
denoising user-aware memory network for recommendation
-
7:04:52
intrs workshop recsys 2022
-
33:15
recommendations at videoland
-
17:38
building an incrementally trained, local taste aware, global deep learned recommender system model
-
29:33
managing api specs at scale
-
21:14
adaptive large-scale recommender system: evgeny labzin
-
1:01
review & revise prs faster with ai | introduction to fine
-
1:25:09
workshop on recommendation in complex environments
-
37:09
real-time search and recommendation at scale using embeddings and hopsworks - databricks summit 2022