Sign in
RecSys 2020
Event Home
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation (RecSys 2020)
Oct 09, 2020
|
47 views
|
arXiv link
ACM RecSys 2020
Follow
Sequential
656 videos · undefined sub area
Recommender System
382 videos · undefined sub area
Details
Sung Min Cho;Eunhyeok Park;Sungjoo Yoo: MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. In RecSys 2020
Category: RecSys 2020
Comments
loading...
Reactions
(0)
| Note
📝 No reactions yet
Be the first one to share your thoughts!
Reactions
(0)
Note
loading...
Recommended
1:43
Playing Atari with Deep Reinforcement Learning | Two Minute Paper
Two Minute Papers
| Mar 7, 2015
20:54
ICAPS 2014: Menkes van den Briel on "Flow-based Heuristics for Optimal Planning"
ICAPS
| Mar 13, 2015
58:12
SREcon15 - Notes from Production Engineering
USENIX
| Apr 9, 2015
28:16
SREcon15 - Case Study: Adopting SRE Principles at StackOverflow
USENIX
| Apr 9, 2015
44:33
SREcon15 - Monitoring without Infrastructure @ Airbnb
USENIX
| Apr 9, 2015
