Modeling Information Content Using Observable Behavior
https://terpconnect.umd.edu/~oard/pdf/asis01.pdf
https://terpconnect.umd.edu/~oard/pdf/asis01.pdf
https://research.atspotify.com/choice-of-implicit-signal-matters-accounting-for-user-aspirations-in-podcast-recommendations/
We explore this problem by answering three main research questions:
1 What is the impact on recommendations and consumption when training to “plays” versus “subnoscriptions”?
2 What are the strongest factors that predict how listeners engage with shows?
3 How could we use calibration to make an informed decision and leverage both signals in recommendations?
We explore this problem by answering three main research questions:
1 What is the impact on recommendations and consumption when training to “plays” versus “subnoscriptions”?
2 What are the strongest factors that predict how listeners engage with shows?
3 How could we use calibration to make an informed decision and leverage both signals in recommendations?
Spotify Research
Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations - Spotify Research
Recommender systems are modulating what billions of people are exposed to on a daily basis. Typically, these systems are optimized for user engagement signals such as clicks, streams, likes, or a weighted combination of such sets. Despite the pervasiveness…