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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

Classification of Customer Churning based on OTT platform data.

The record

Type
Publication
Date
1 January 2024
Level
National
Journal
Esic 2024 4th International Conference on Emerging Systems and Intelligent Computing Proceedings
Pages
673-678
Published
1 January 2024
DOI
10.1109/esic60604.2024.10481640
Scopus ID
85191001621
Authors
6
Open access
No
Citations
11
International co-authorship
No
Co-author countries
IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

    GoalPrimaryModerate confidenceJudged

    Machine learning ensemble methods predict customer churn rates on OTT platform, enabling businesses to identify at-risk subscribers and implement retention strategies.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2 Thriving and Sustainable Economy

    ThemePrimaryModerate confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 8 label. Machine learning ensemble methods predict customer churn rates on OTT platform, enabling businesses to identify at-risk subscribers and implement retention strategies.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Classification of Customer Churning based on OTT platform data.”. Kortex.

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Classification of Customer Churning based on OTT platform data. · Kortex