Publication2025
A Machine Learning Approach to Consumer Behavior Analysis in Social Media-Influenced E-Book Markets
The record
- Type
- Publication
- Date
- 1 July 2025
- Level
- National
- Journal
- Journal of Applied Science and Technology Trends
- Volume
- 6
- Issue
- 2
- Pages
- 242-250
- Published
- 1 July 2025
- DOI
- 10.38094/jastt62318
- Scopus ID
- 105016567771
- ISSN
- 27080757
- Authors
- 4
- Open access
- Yes
- Citations
- 0
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Applies Random Forest and Gradient Boosting machine learning models analyzing social media influence on e-book purchasing behavior identifying behavioral predictors.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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
8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
Supports economic growth through data-driven insights enabling region-specific digital marketing strategies in emerging e-commerce markets.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Contributes to digital technology and AI through machine learning analysis of consumer behavior in social media-influenced digital markets.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A Machine Learning Approach to Consumer Behavior Analysis in Social Media-Influenced E-Book Markets”. Kortex.