Why has JioSaavn's music recommendation algorithm accuracy declined by 15% for Bollywood playlists in the past quarter?

Introduction

JioSaavn's music recommendation algorithm accuracy for Bollywood playlists has declined by 15% in the past quarter, presenting a significant challenge to user experience and engagement. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has there been any significant change in user behavior or content consumption patterns during this quarter compared to previous years?

Why it matters: Seasonal trends could explain temporary fluctuations in recommendation accuracy. Expected answer: No significant seasonal changes observed. Impact on approach: If confirmed, we'll focus on internal factors rather than external seasonal influences.

• Considering the specificity of the decline, I'm wondering about recent algorithm updates. Have there been any changes to the recommendation algorithm or its input data sources in the past quarter?

Why it matters: Recent changes could directly impact recommendation accuracy. Expected answer: A minor update was implemented two months ago. Impact on approach: This would shift our focus to the recent update as a potential cause.

• Given the focus on Bollywood playlists, I'm curious about content changes. Has there been any significant shift in the Bollywood music catalog or user preferences during this period?

Why it matters: Changes in content or user preferences could affect recommendation accuracy. Expected answer: No major changes in the catalog, but there's been a trend towards remixes. Impact on approach: We'd need to investigate if the algorithm is adapting to evolving user preferences.

• Thinking about measurement accuracy, I'm concerned about potential data collection issues. Has there been any change in how recommendation accuracy is measured or in the systems collecting this data?

Why it matters: Ensures we're addressing a real issue and not a measurement anomaly. Expected answer: No changes in measurement methodology or systems. Impact on approach: Confirms the issue is with the recommendations themselves, not the measurement.