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10.46243/jstj.2018.v3.i1.159 registered

Supporting Privacy Protection in Personalized Web Search

Resolves to https://www.jst.org.in/index.php/pub/article/view/159

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jstj.2018.v3.i1.159

Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 17fd029e6c5521e7…

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What the DOI identifies

JournalArticle — an article in a journal · Digital · Visual · en

Supporting Privacy Protection in Personalized Web Search (PrincipalTitle)

Published 2018-01-03

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 03 · issue 01 · pages 17–21

Agents

  • Brahmaji Katragadda (author)
  • Sk.Meera Shari (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jstj.2018.v3.i1.159

Abstract

The potency of Personalized web search (PWS) inenhancing the quality of diverse search services on the Internetis authenticated. Nevertheless, user’s disinclination to unfold their private information in the course of their search has created a vitalstop for the proliferation of PWS. We aspire to propose a PWS framework called UPS. while valuing user specified privacy requirements, with the help of queries, this can adaptively generalize profiles.This technique aims at maintaining equilibrium between two predictive metrics that gauges the utility of personalization and the privacy risk of uncovering the generalized profile. GreedyDP and GreedyIL are the two greedy algorithms for runtime generalization are proposed here. Additionally, weimpart an online prediction mechanism for deciding whether personalizing a query is serviceable. Extensive experiments demonstrate the effectiveness ofour framework. The experimental results also reveal that GreedyIL outstandingly surpasses GreedyDP in terms of efficiency.

Licence https://creativecommons.org/licenses/by/4.0/

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.

ElementValueIn the record
DOI Name
DOI name
10.46243/jstj.2018.v3.i1.159doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
Supporting Privacy Protection in Personalized Web Search (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: Brahmaji Katragadda
author: Sk.Meera Shari
publisher: Longman Publishers
published: 2018-01-03
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 03 · no. 01 · pp. 17–21
language: en
form: Digital · Visual · Language
agents, dates, container, language, structural_type, modes, characters
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOIidentifiers, relations (IsSameAs)
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copyrecord.source_agency (our code, ra_doi_name, for names issued here once appointed)
Created Date
issueDate
2026-09-07record.registered (when the DOI name was first registered)
relatedIdentifiersnone needed — the descriptive metadata is in this recordcontainer, relations (only where the descriptive metadata lives at another identifier)

complete Every System Metadata element is here, with the basic metadata a journal article needs.

The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs

History — the ledger

Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.

#WhenWhatByChanges
129 Sep 2026, 10:00 PMregister
registered at Crossref; record read from api.crossref.org
Administrator (admin) 73 fields set · sha256 33f3d41909e2…
229 Sep 2026, 11:59 PMupdate
record re-read from api.crossref.org
Administrator (admin)
container.titles.0.value: Journal of Science & Technology → Journal of Science & Technology

Machine-readable: the history as JSON, with the full record after each change.

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