

#14: User Modeling and Superlinked with Daniel Svonava
4 snips Mar 15, 2023
In this podcast, they discuss the importance of user modeling for recommendations and discovery, showcasing examples from YouTube's ad performance forecasting. They touch on real-time personalization and how Superlinked provides personalization as a service. The challenges of the RecSys community in rebranding for a better image are also highlighted.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11
Introduction
00:00 • 3min
From Competitions to Entrepreneurship: Navigating Algorithmic Impact
02:48 • 8min
Enhancing User Experience through Data Modeling and Personalized Recommendations
10:26 • 8min
Balancing Cost and Efficiency in Video Transcoding Decisions
18:30 • 2min
Navigating the Complexities of Ad Performance Prediction in Online Campaigns
20:03 • 11min
Real-Time Personalization and User Modeling in Recommender Systems
31:01 • 13min
Consistency in User Modeling Across Ranking Models
43:50 • 16min
Strategies for Personalization and User Modeling
59:44 • 7min
Superlinked: Personalization Engine for Real-Time Machine Learning Personalization
01:06:51 • 15min
Navigating the Virtual Event Landscape
01:21:24 • 4min
Configurable Configurations and AI Accessibility
01:25:48 • 17min