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

Publication2020

Privacy Preserving in Collaborative Filtering Based Recommender System: A Systematic Literature Review

The record

Type
Publication
Date
1 January 2020
Level
National
Journal
Advances in Intelligent Systems and Computing
Volume
1119
Pages
513-522
Published
1 January 2020
DOI
10.1007/978-981-15-2414-1_52
Scopus ID
85083342001
ISSN
21945357
Authors
3
Open access
No
Citations
7
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. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Systematic literature review on privacy-preserving mechanisms in collaborative filtering recommender systems, addressing data security research innovation.

    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

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Research on privacy preservation in digital systems and machine learning algorithms advances digital technology and cybersecurity.

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

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KIIT Deemed to be University. “Privacy Preserving in Collaborative Filtering Based Recommender System: A Systematic Literature Review”. Kortex.

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