Unravelling Filter Bubbles in Recommender Systems: A Comprehensive Review Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.15379/ijmst.v10i2.1839
The prevalence of filter bubbles in recommender systems has raised concerns about the potential impact on user experiences and information exposure. This systematic literature review aims to deliver a thorough analysis for the study conducted on filter bubbles in recommender systems and its implications for user experiences and information exposure. Through a thorough bibliometric analysis using VOSViewer, the research landscape is mapped, influential authors are identified, and recurring themes are examined. The review delves into theoretical frameworks, empirical studies, and algorithmic approaches to highlight the challenges and opportunities associated with detecting and mitigating filter bubbles. Key findings encompass the identification of filter bubbles, their impact on user behavior, and proposed solutions. Additionally, an analysis of datasets used in this context is presented, alongside notable solutions developed to address filter bubbles in recommender systems. The review investigates the unresolved obstacles in the domain of filter bubbles within recommender systems. The review also explores potential future directions and solutions to mitigate filter bubbles, underscoring the significance of understanding their implications for user decision-making and information diversity. By contributing to the ongoing discourse on recommendation systems, this research offers valuable insights to researchers, practitioners, and policymakers seeking to address the filter bubble phenomenon and enhance user experiences in the realm of recommender systems.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.15379/ijmst.v10i2.1839
- OA Status
- diamond
- Cited By
- 1
- References
- 69
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386781170
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386781170Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.15379/ijmst.v10i2.1839Digital Object Identifier
- Title
-
Unravelling Filter Bubbles in Recommender Systems: A Comprehensive ReviewWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-09-05Full publication date if available
- Authors
-
Umar Tahir Kidwai, Nadeem Akhtar, Mohammad NadeemList of authors in order
- Landing page
-
https://doi.org/10.15379/ijmst.v10i2.1839Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.15379/ijmst.v10i2.1839Direct OA link when available
- Concepts
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Recommender system, Filter (signal processing), Computer science, Context (archaeology), Data science, Realm, Identification (biology), Human–computer interaction, Information retrieval, Political science, Paleontology, Botany, Law, Computer vision, BiologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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69Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.mapped, | 61 |
| abstract_inverted_index.notable | 123 |
| abstract_inverted_index.ongoing | 178 |
| abstract_inverted_index.seeking | 193 |
| abstract_inverted_index.systems | 7, 40 |
| abstract_inverted_index.analysis | 30, 54, 113 |
| abstract_inverted_index.bubbles, | 102, 160 |
| abstract_inverted_index.bubbles. | 94 |
| abstract_inverted_index.concerns | 10 |
| abstract_inverted_index.datasets | 115 |
| abstract_inverted_index.explores | 151 |
| abstract_inverted_index.findings | 96 |
| abstract_inverted_index.insights | 187 |
| abstract_inverted_index.mitigate | 158 |
| abstract_inverted_index.proposed | 109 |
| abstract_inverted_index.research | 58, 184 |
| abstract_inverted_index.studies, | 78 |
| abstract_inverted_index.systems, | 182 |
| abstract_inverted_index.systems. | 132, 147, 209 |
| abstract_inverted_index.thorough | 29, 52 |
| abstract_inverted_index.valuable | 186 |
| abstract_inverted_index.alongside | 122 |
| abstract_inverted_index.behavior, | 107 |
| abstract_inverted_index.conducted | 34 |
| abstract_inverted_index.detecting | 90 |
| abstract_inverted_index.developed | 125 |
| abstract_inverted_index.discourse | 179 |
| abstract_inverted_index.empirical | 77 |
| abstract_inverted_index.encompass | 97 |
| abstract_inverted_index.examined. | 70 |
| abstract_inverted_index.exposure. | 20, 49 |
| abstract_inverted_index.highlight | 83 |
| abstract_inverted_index.landscape | 59 |
| abstract_inverted_index.obstacles | 138 |
| abstract_inverted_index.potential | 13, 152 |
| abstract_inverted_index.recurring | 67 |
| abstract_inverted_index.solutions | 124, 156 |
| abstract_inverted_index.VOSViewer, | 56 |
| abstract_inverted_index.approaches | 81 |
| abstract_inverted_index.associated | 88 |
| abstract_inverted_index.challenges | 85 |
| abstract_inverted_index.directions | 154 |
| abstract_inverted_index.diversity. | 173 |
| abstract_inverted_index.literature | 23 |
| abstract_inverted_index.mitigating | 92 |
| abstract_inverted_index.phenomenon | 199 |
| abstract_inverted_index.presented, | 121 |
| abstract_inverted_index.prevalence | 1 |
| abstract_inverted_index.solutions. | 110 |
| abstract_inverted_index.systematic | 22 |
| abstract_inverted_index.unresolved | 137 |
| abstract_inverted_index.algorithmic | 80 |
| abstract_inverted_index.experiences | 17, 46, 203 |
| abstract_inverted_index.frameworks, | 76 |
| abstract_inverted_index.identified, | 65 |
| abstract_inverted_index.influential | 62 |
| abstract_inverted_index.information | 19, 48, 172 |
| abstract_inverted_index.recommender | 6, 39, 131, 146, 208 |
| abstract_inverted_index.theoretical | 75 |
| abstract_inverted_index.bibliometric | 53 |
| abstract_inverted_index.contributing | 175 |
| abstract_inverted_index.implications | 43, 167 |
| abstract_inverted_index.investigates | 135 |
| abstract_inverted_index.policymakers | 192 |
| abstract_inverted_index.researchers, | 189 |
| abstract_inverted_index.significance | 163 |
| abstract_inverted_index.underscoring | 161 |
| abstract_inverted_index.Additionally, | 111 |
| abstract_inverted_index.opportunities | 87 |
| abstract_inverted_index.understanding | 165 |
| abstract_inverted_index.identification | 99 |
| abstract_inverted_index.practitioners, | 190 |
| abstract_inverted_index.recommendation | 181 |
| abstract_inverted_index.decision-making | 170 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.57858687 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |