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Binge-Watching Pattern Mining
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Binge-Watching Pattern Mining

HardSQL · PostgreSQL

Problem

Netflix wants to identify recurring binge-watching sequences from profile viewing logs. A binge pair is two completed sessions for the same profile where the second title starts after the first session ends and within 30 minutes.

Write a PostgreSQL query to find and rank title-to-title binge patterns.

Requirements

  1. Self-join viewing_sessions to compare consecutive sessions for the same profile.
  2. Include only completed sessions whose start times meet the 30-minute rule.
  3. Keep patterns observed at least twice, and calculate pair count and total minutes watched.
  4. Rank each profile's patterns by pair count descending, then total minutes descending. Return the results in profile and rank order.

Schema

viewing_sessions
ColumnTypeDescription
session_idPKINTUnique viewing session identifier
profile_idINTNetflix profile identifier
title_idINTWatched title identifier
started_atTIMESTAMPSession start timestamp
ended_atTIMESTAMPSession end timestamp
duration_minutesINTMinutes watched during the session
completedBOOLEANWhether the session was completed
titles
ColumnTypeDescription
title_idPKINTUnique title identifier
title_nameVARCHAR(100)Netflix title name
Tablesviewing_sessionstitles
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