Decision theory-based content selection and ranking for social media newsfeed using fuzzy analytic hierarchy process

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bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorTisha, Sadia Nasrin
dc.contributor.authorAbed, Mahjabeen Tamanna
dc.contributor.authorAlam, Md. Golam Rabiul
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-09-05T17:20:29Z
dc.date.available2026-09-05T17:20:29Z
dc.date.issued2021-08-23
dc.description.abstractNews Feed for Social Media is the news stream that is constantly published in the middle of one's home page. News Feed comprises status reports, photos, videos, interactions, app action, and reactions from people, blogs, and networks on social media that individuals follow. Determining the quality of limited content posts and ranking them to guide user interest is an important concept. This research focuses on prioritized the news feed post contents where the user's recommended post will appear first in their news feed. Out of multiple input content, seven factors are categorized and Fuzzy AHP and AHP are applied here for ranking the factors where commented numbers get the highest-ranking and picture embedded post get the lowest ranking.
dc.description.versionPublished
dc.format.extent6 pages
dc.identifier.citationS. N. Tisha, M. T. Abed and M. G. R. Alam, "Decision Theory-based Content Selection and Ranking for Social Media Newsfeed using Fuzzy Analytic Hierarchy Process," 2021 IEEE Region 10 Symposium (TENSYMP), Jeju, Korea, Republic of, 2021, pp. 1-6, doi: 10.1109/TENSYMP52854.2021.9550917.
dc.identifier.doi10.1109/TENSYMP52854.2021.9550917
dc.identifier.issn9781665400268
dc.identifier.other2-s2.0-85117440337
dc.identifier.urihttps://hdl.handle.net/10361/29748
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/TENSYMP52854.2021.9550917
dc.relation.ispartofTensymp 2021 2021 IEEE Region 10 Symposium
dc.relation.ispartofseriesTensymp 2021 2021 IEEE Region 10 Symposium
dc.relation.urihttps://ieeexplore.ieee.org/document/9550917
dc.subjectFuzzy AHP
dc.subjectNewsfeed
dc.subjectposts
dc.subjectRanking
dc.subjectSocial media
dc.subjectTFN
dc.subject.lcshFuzzy decision making.
dc.subject.lcshSocial media.
dc.titleDecision theory-based content selection and ranking for social media newsfeed using fuzzy analytic hierarchy process
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57223022349
person.identifier.scopus-author-id57221706215
person.identifier.scopus-author-id26434126600

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