A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning Article Swipe
Neeraj Tiwary
,
Shahrul Azman Mohd Noah
,
Fariza Fauzi
,
Siok Yee Tan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3422416
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3422416
This review paper addresses the research question of the significance of explainability in AI and the role of integrating KG and RL to enhance Explainable Recommender Systems (XRS). It surveys articles published from January 2015 to March 2024 on XRS, focusing on knowledge graphs (KGs) and reinforcement learning (RL) for achieving explainability in recommender systems. Employing a systematic methodology, it introduces a custom Python-based web scraper to efficiently navigate and extract relevant academic research papers from IEEE, ScienceDirect (Elsevier), ACM, and Springer online databases. The study encompasses the PRISMA methodology to conduct a thorough analysis and identify pertinent research works. This systematic literature review aims to provide a unified view of the field by reviewing eight existing XRS literature reviews and 29 pertinent XRS studies involving KG and RL from the specified period. It categorizes and analyses relevant research papers based on their implementation methodologies and explores significant contributions, encompassing perspectives on model-agnostic and model-intrinsic explanations.
Related Topics
Concepts
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3422416
- OA Status
- gold
- Cited By
- 10
- References
- 116
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400275135
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400275135Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2024.3422416Digital Object Identifier
- Title
-
A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement LearningWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Neeraj Tiwary, Shahrul Azman Mohd Noah, Fariza Fauzi, Siok Yee TanList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2024.3422416Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2024.3422416Direct OA link when available
- Concepts
-
Computer science, Recommender system, Python (programming language), Reinforcement learning, Information retrieval, Field (mathematics), Data science, World Wide Web, Artificial intelligence, Mathematics, Pure mathematics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
116Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4400275135 |
|---|---|
| doi | https://doi.org/10.1109/access.2024.3422416 |
| ids.doi | https://doi.org/10.1109/access.2024.3422416 |
| ids.openalex | https://openalex.org/W4400275135 |
| fwci | 6.38778549 |
| type | review |
| title | A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning |
| awards[0].id | https://openalex.org/G7847914134 |
| awards[0].funder_id | https://openalex.org/F4320322699 |
| awards[0].display_name | |
| awards[0].funder_award_id | DIP-2020-017 |
| awards[0].funder_display_name | Universiti Kebangsaan Malaysia |
| biblio.issue | |
| biblio.volume | 12 |
| biblio.last_page | 92019 |
| biblio.first_page | 91999 |
| topics[0].id | https://openalex.org/T12026 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9970999956130981 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Explainable Artificial Intelligence (XAI) |
| topics[1].id | https://openalex.org/T10203 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9919999837875366 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1710 |
| topics[1].subfield.display_name | Information Systems |
| topics[1].display_name | Recommender Systems and Techniques |
| topics[2].id | https://openalex.org/T12101 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.9883999824523926 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Advanced Bandit Algorithms Research |
| funders[0].id | https://openalex.org/F4320322699 |
| funders[0].ror | https://ror.org/00bw8d226 |
| funders[0].display_name | Universiti Kebangsaan Malaysia |
| is_xpac | False |
| apc_list.value | 1850 |
| apc_list.currency | USD |
| apc_list.value_usd | 1850 |
| apc_paid.value | 1850 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1850 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8258599638938904 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C557471498 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7730089426040649 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q554950 |
| concepts[1].display_name | Recommender system |
| concepts[2].id | https://openalex.org/C519991488 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6585230231285095 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q28865 |
| concepts[2].display_name | Python (programming language) |
| concepts[3].id | https://openalex.org/C97541855 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6210685968399048 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q830687 |
| concepts[3].display_name | Reinforcement learning |
| concepts[4].id | https://openalex.org/C23123220 |
| concepts[4].level | 1 |
| concepts[4].score | 0.4452809989452362 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[4].display_name | Information retrieval |
| concepts[5].id | https://openalex.org/C9652623 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4353756010532379 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q190109 |
| concepts[5].display_name | Field (mathematics) |
| concepts[6].id | https://openalex.org/C2522767166 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4031585454940796 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[6].display_name | Data science |
| concepts[7].id | https://openalex.org/C136764020 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3646737039089203 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[7].display_name | World Wide Web |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.31855595111846924 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C202444582 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q837863 |
| concepts[10].display_name | Pure mathematics |
| concepts[11].id | https://openalex.org/C111919701 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[11].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8258599638938904 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/recommender-system |
| keywords[1].score | 0.7730089426040649 |
| keywords[1].display_name | Recommender system |
| keywords[2].id | https://openalex.org/keywords/python |
| keywords[2].score | 0.6585230231285095 |
| keywords[2].display_name | Python (programming language) |
| keywords[3].id | https://openalex.org/keywords/reinforcement-learning |
| keywords[3].score | 0.6210685968399048 |
| keywords[3].display_name | Reinforcement learning |
| keywords[4].id | https://openalex.org/keywords/information-retrieval |
| keywords[4].score | 0.4452809989452362 |
| keywords[4].display_name | Information retrieval |
| keywords[5].id | https://openalex.org/keywords/field |
| keywords[5].score | 0.4353756010532379 |
| keywords[5].display_name | Field (mathematics) |
| keywords[6].id | https://openalex.org/keywords/data-science |
| keywords[6].score | 0.4031585454940796 |
| keywords[6].display_name | Data science |
| keywords[7].id | https://openalex.org/keywords/world-wide-web |
| keywords[7].score | 0.3646737039089203 |
| keywords[7].display_name | World Wide Web |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.31855595111846924 |
| keywords[8].display_name | Artificial intelligence |
| language | en |
| locations[0].id | doi:10.1109/access.2024.3422416 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2485537415 |
| locations[0].source.issn | 2169-3536 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2169-3536 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IEEE Access |
| locations[0].source.host_organization | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_name | Institute of Electrical and Electronics Engineers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEEE Access |
| locations[0].landing_page_url | https://doi.org/10.1109/access.2024.3422416 |
| locations[1].id | pmh:oai:doaj.org/article:bc4d19b17f124199b92d7528762558d2 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | IEEE Access, Vol 12, Pp 91999-92019 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/bc4d19b17f124199b92d7528762558d2 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5092217647 |
| authorships[0].author.orcid | https://orcid.org/0009-0008-9560-6246 |
| authorships[0].author.display_name | Neeraj Tiwary |
| authorships[0].countries | MY |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I885383172 |
| authorships[0].affiliations[0].raw_affiliation_string | Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia |
| authorships[0].institutions[0].id | https://openalex.org/I885383172 |
| authorships[0].institutions[0].ror | https://ror.org/00bw8d226 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I885383172 |
| authorships[0].institutions[0].country_code | MY |
| authorships[0].institutions[0].display_name | National University of Malaysia |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Neeraj Tiwary |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia |
| authorships[1].author.id | https://openalex.org/A5084358405 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-7683-4309 |
| authorships[1].author.display_name | Shahrul Azman Mohd Noah |
| authorships[1].countries | MY |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I885383172 |
| authorships[1].affiliations[0].raw_affiliation_string | Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia |
| authorships[1].institutions[0].id | https://openalex.org/I885383172 |
| authorships[1].institutions[0].ror | https://ror.org/00bw8d226 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I885383172 |
| authorships[1].institutions[0].country_code | MY |
| authorships[1].institutions[0].display_name | National University of Malaysia |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Shahrul Azman Mohd Noah |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia |
| authorships[2].author.id | https://openalex.org/A5013608816 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0491-4198 |
| authorships[2].author.display_name | Fariza Fauzi |
| authorships[2].affiliations[0].raw_affiliation_string | Centre for Cyber Security, Faculty of Information Science and Technology, UKM, Bangi, Selangor, Malaysia |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Fariza Fauzi |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Centre for Cyber Security, Faculty of Information Science and Technology, UKM, Bangi, Selangor, Malaysia |
| authorships[3].author.id | https://openalex.org/A5007907238 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-3566-9938 |
| authorships[3].author.display_name | Siok Yee Tan |
| authorships[3].countries | MY |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I885383172 |
| authorships[3].affiliations[0].raw_affiliation_string | Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia |
| authorships[3].institutions[0].id | https://openalex.org/I885383172 |
| authorships[3].institutions[0].ror | https://ror.org/00bw8d226 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I885383172 |
| authorships[3].institutions[0].country_code | MY |
| authorships[3].institutions[0].display_name | National University of Malaysia |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Tan Siok Yee |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1109/access.2024.3422416 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12026 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9970999956130981 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Explainable Artificial Intelligence (XAI) |
| related_works | https://openalex.org/W2341492732, https://openalex.org/W3187193180, https://openalex.org/W106542691, https://openalex.org/W1699080303, https://openalex.org/W4297799326, https://openalex.org/W3116064965, https://openalex.org/W4287027380, https://openalex.org/W3193760048, https://openalex.org/W4390273403, https://openalex.org/W4285822516 |
| cited_by_count | 10 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 8 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1109/access.2024.3422416 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2485537415 |
| best_oa_location.source.issn | 2169-3536 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2169-3536 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IEEE Access |
| best_oa_location.source.host_organization | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEEE Access |
| best_oa_location.landing_page_url | https://doi.org/10.1109/access.2024.3422416 |
| primary_location.id | doi:10.1109/access.2024.3422416 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2485537415 |
| primary_location.source.issn | 2169-3536 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2169-3536 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IEEE Access |
| primary_location.source.host_organization | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Access |
| primary_location.landing_page_url | https://doi.org/10.1109/access.2024.3422416 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3201713395, https://openalex.org/W2007872832, https://openalex.org/W4318159260, https://openalex.org/W3091993229, https://openalex.org/W4318969655, https://openalex.org/W3136359687, https://openalex.org/W4367031915, https://openalex.org/W4389131286, https://openalex.org/W4391431104, https://openalex.org/W3194396392, https://openalex.org/W3211639647, https://openalex.org/W3015177564, https://openalex.org/W2798435682, https://openalex.org/W2991420365, https://openalex.org/W3212844646, https://openalex.org/W6756943755, https://openalex.org/W3199110531, https://openalex.org/W2744999500, https://openalex.org/W4319299406, https://openalex.org/W2914805061, https://openalex.org/W4311453650, https://openalex.org/W3010336026, https://openalex.org/W2094728533, https://openalex.org/W1552847225, https://openalex.org/W2022166150, https://openalex.org/W2933602294, https://openalex.org/W3167537240, https://openalex.org/W4252064021, https://openalex.org/W3127561923, https://openalex.org/W3006670753, https://openalex.org/W4281764184, https://openalex.org/W32403112, https://openalex.org/W2119717200, https://openalex.org/W6683195989, https://openalex.org/W4389982328, https://openalex.org/W4384641488, https://openalex.org/W4321593635, https://openalex.org/W4224316956, https://openalex.org/W4297682444, https://openalex.org/W3164255383, https://openalex.org/W3029587262, https://openalex.org/W2950275995, https://openalex.org/W4212975546, https://openalex.org/W3034833075, https://openalex.org/W4390887461, https://openalex.org/W4385283760, https://openalex.org/W4317038457, https://openalex.org/W4385300756, https://openalex.org/W4310855568, https://openalex.org/W4206992809, https://openalex.org/W3017289192, https://openalex.org/W3137726751, https://openalex.org/W4393259121, https://openalex.org/W4309765757, https://openalex.org/W3011720102, https://openalex.org/W3167653608, https://openalex.org/W4389521405, https://openalex.org/W4378472738, https://openalex.org/W4384408011, https://openalex.org/W4220708844, https://openalex.org/W4283749735, https://openalex.org/W4285490966, https://openalex.org/W4384788259, https://openalex.org/W2801992635, https://openalex.org/W2965684898, https://openalex.org/W3021867106, https://openalex.org/W6678830454, https://openalex.org/W2283196293, https://openalex.org/W2184957013, https://openalex.org/W4361185750, https://openalex.org/W6631964550, https://openalex.org/W2509893387, https://openalex.org/W2798385737, https://openalex.org/W2907349915, https://openalex.org/W2985165384, https://openalex.org/W2017710739, https://openalex.org/W2010187764, https://openalex.org/W2884134047, https://openalex.org/W2893775232, https://openalex.org/W2743159750, https://openalex.org/W2966349618, https://openalex.org/W2792839191, https://openalex.org/W2949687195, https://openalex.org/W2964737815, https://openalex.org/W2913560138, https://openalex.org/W2945623882, https://openalex.org/W2951050019, https://openalex.org/W2980576964, https://openalex.org/W4200334431, https://openalex.org/W2787933113, https://openalex.org/W2953482242, https://openalex.org/W2981211936, https://openalex.org/W2963842088, https://openalex.org/W6741002519, https://openalex.org/W6638018090, https://openalex.org/W2914272066, https://openalex.org/W3035106673, https://openalex.org/W3034329167, https://openalex.org/W2964108915, https://openalex.org/W6747095738, https://openalex.org/W2799544270, https://openalex.org/W3047443212, https://openalex.org/W6841172114, https://openalex.org/W3098087397, https://openalex.org/W3102899483, https://openalex.org/W1533230146, https://openalex.org/W3106439716, https://openalex.org/W3098551837, https://openalex.org/W2736601468, https://openalex.org/W3100356296, https://openalex.org/W2781763969, https://openalex.org/W4288315942, https://openalex.org/W3097982973, https://openalex.org/W2122410182, https://openalex.org/W3101366597, https://openalex.org/W4289123308 |
| referenced_works_count | 116 |
| abstract_inverted_index.a | 56, 61, 92, 107 |
| abstract_inverted_index.29 | 121 |
| abstract_inverted_index.AI | 13 |
| abstract_inverted_index.It | 28, 133 |
| abstract_inverted_index.KG | 19, 126 |
| abstract_inverted_index.RL | 21, 128 |
| abstract_inverted_index.by | 113 |
| abstract_inverted_index.in | 12, 52 |
| abstract_inverted_index.it | 59 |
| abstract_inverted_index.of | 7, 10, 17, 110 |
| abstract_inverted_index.on | 38, 41, 141, 151 |
| abstract_inverted_index.to | 22, 35, 66, 90, 105 |
| abstract_inverted_index.The | 84 |
| abstract_inverted_index.XRS | 117, 123 |
| abstract_inverted_index.and | 14, 20, 45, 69, 80, 95, 120, 127, 135, 145, 153 |
| abstract_inverted_index.for | 49 |
| abstract_inverted_index.the | 4, 8, 15, 87, 111, 130 |
| abstract_inverted_index.web | 64 |
| abstract_inverted_index.(RL) | 48 |
| abstract_inverted_index.2015 | 34 |
| abstract_inverted_index.2024 | 37 |
| abstract_inverted_index.ACM, | 79 |
| abstract_inverted_index.This | 0, 100 |
| abstract_inverted_index.XRS, | 39 |
| abstract_inverted_index.aims | 104 |
| abstract_inverted_index.from | 32, 75, 129 |
| abstract_inverted_index.role | 16 |
| abstract_inverted_index.view | 109 |
| abstract_inverted_index.(KGs) | 44 |
| abstract_inverted_index.IEEE, | 76 |
| abstract_inverted_index.March | 36 |
| abstract_inverted_index.based | 140 |
| abstract_inverted_index.eight | 115 |
| abstract_inverted_index.field | 112 |
| abstract_inverted_index.paper | 2 |
| abstract_inverted_index.study | 85 |
| abstract_inverted_index.their | 142 |
| abstract_inverted_index.(XRS). | 27 |
| abstract_inverted_index.PRISMA | 88 |
| abstract_inverted_index.custom | 62 |
| abstract_inverted_index.graphs | 43 |
| abstract_inverted_index.online | 82 |
| abstract_inverted_index.papers | 74, 139 |
| abstract_inverted_index.review | 1, 103 |
| abstract_inverted_index.works. | 99 |
| abstract_inverted_index.January | 33 |
| abstract_inverted_index.Systems | 26 |
| abstract_inverted_index.conduct | 91 |
| abstract_inverted_index.enhance | 23 |
| abstract_inverted_index.extract | 70 |
| abstract_inverted_index.period. | 132 |
| abstract_inverted_index.provide | 106 |
| abstract_inverted_index.reviews | 119 |
| abstract_inverted_index.scraper | 65 |
| abstract_inverted_index.studies | 124 |
| abstract_inverted_index.surveys | 29 |
| abstract_inverted_index.unified | 108 |
| abstract_inverted_index.Springer | 81 |
| abstract_inverted_index.academic | 72 |
| abstract_inverted_index.analyses | 136 |
| abstract_inverted_index.analysis | 94 |
| abstract_inverted_index.articles | 30 |
| abstract_inverted_index.existing | 116 |
| abstract_inverted_index.explores | 146 |
| abstract_inverted_index.focusing | 40 |
| abstract_inverted_index.identify | 96 |
| abstract_inverted_index.learning | 47 |
| abstract_inverted_index.navigate | 68 |
| abstract_inverted_index.question | 6 |
| abstract_inverted_index.relevant | 71, 137 |
| abstract_inverted_index.research | 5, 73, 98, 138 |
| abstract_inverted_index.systems. | 54 |
| abstract_inverted_index.thorough | 93 |
| abstract_inverted_index.Employing | 55 |
| abstract_inverted_index.achieving | 50 |
| abstract_inverted_index.addresses | 3 |
| abstract_inverted_index.involving | 125 |
| abstract_inverted_index.knowledge | 42 |
| abstract_inverted_index.pertinent | 97, 122 |
| abstract_inverted_index.published | 31 |
| abstract_inverted_index.reviewing | 114 |
| abstract_inverted_index.specified | 131 |
| abstract_inverted_index.databases. | 83 |
| abstract_inverted_index.introduces | 60 |
| abstract_inverted_index.literature | 102, 118 |
| abstract_inverted_index.systematic | 57, 101 |
| abstract_inverted_index.(Elsevier), | 78 |
| abstract_inverted_index.Explainable | 24 |
| abstract_inverted_index.Recommender | 25 |
| abstract_inverted_index.categorizes | 134 |
| abstract_inverted_index.efficiently | 67 |
| abstract_inverted_index.encompasses | 86 |
| abstract_inverted_index.integrating | 18 |
| abstract_inverted_index.methodology | 89 |
| abstract_inverted_index.recommender | 53 |
| abstract_inverted_index.significant | 147 |
| abstract_inverted_index.Python-based | 63 |
| abstract_inverted_index.encompassing | 149 |
| abstract_inverted_index.methodology, | 58 |
| abstract_inverted_index.perspectives | 150 |
| abstract_inverted_index.significance | 9 |
| abstract_inverted_index.ScienceDirect | 77 |
| abstract_inverted_index.explanations. | 155 |
| abstract_inverted_index.methodologies | 144 |
| abstract_inverted_index.reinforcement | 46 |
| abstract_inverted_index.contributions, | 148 |
| abstract_inverted_index.explainability | 11, 51 |
| abstract_inverted_index.implementation | 143 |
| abstract_inverted_index.model-agnostic | 152 |
| abstract_inverted_index.model-intrinsic | 154 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.95346706 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |