Publication2019
SVD based privacy preserving recommendation model using optimized hybrid item-based collaborative filtering
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 23 April 2019
- Level
- National
- Journal
- Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing Iccsp 2019
- Pages
- 294-298
- Published
- 23 April 2019
- DOI
- 10.1109/iccsp.2019.8697950
- Scopus ID
- 85065595447
- Authors
- 3
- Open access
- No
- Citations
- 26
- 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
Development of SVD-based privacy-preserving collaborative filtering recommendation model represents research innovation in machine learning and data privacy techniques.
- 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
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Development of SVD-based privacy-preserving collaborative filtering recommendation model represents research innovation in machine learning and data privacy techniques.
- 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. “SVD based privacy preserving recommendation model using optimized hybrid item-based collaborative filtering”. Kortex.