Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guarantees Article Swipe
Marco Grillo
,
Wojciech Kotłowski
,
Miłosz Kadziński
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.ejor.2025.05.045
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.ejor.2025.05.045
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ejor.2025.05.045
- OA Status
- hybrid
- References
- 74
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411111548
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411111548Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ejor.2025.05.045Digital Object Identifier
- Title
-
Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guaranteesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-07Full publication date if available
- Authors
-
Marco Grillo, Wojciech Kotłowski, Miłosz KadzińskiList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ejor.2025.05.045Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.ejor.2025.05.045Direct OA link when available
- Concepts
-
Preference, Preference learning, Ordinal regression, Computer science, Ranking (information retrieval), Ordinal optimization, Online learning, Artificial intelligence, Preference elicitation, Ordinal data, Regression, Machine learning, Statistics, Mathematics, MultimediaTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
74Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411111548 |
|---|---|
| doi | https://doi.org/10.1016/j.ejor.2025.05.045 |
| ids.doi | https://doi.org/10.1016/j.ejor.2025.05.045 |
| ids.openalex | https://openalex.org/W4411111548 |
| fwci | 0.0 |
| type | article |
| title | Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guarantees |
| biblio.issue | 3 |
| biblio.volume | 327 |
| biblio.last_page | 1022 |
| biblio.first_page | 1003 |
| topics[0].id | https://openalex.org/T12101 |
| topics[0].field.id | https://openalex.org/fields/18 |
| topics[0].field.display_name | Decision Sciences |
| topics[0].score | 0.9955999851226807 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1803 |
| topics[0].subfield.display_name | Management Science and Operations Research |
| topics[0].display_name | Advanced Bandit Algorithms Research |
| topics[1].id | https://openalex.org/T12072 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.991599977016449 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Machine Learning and Algorithms |
| topics[2].id | https://openalex.org/T12535 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9833999872207642 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Machine Learning and Data Classification |
| funders[0].id | https://openalex.org/F4320322511 |
| funders[0].ror | https://ror.org/03ha2q922 |
| funders[0].display_name | Narodowe Centrum Nauki |
| funders[1].id | https://openalex.org/F4320338438 |
| funders[1].ror | |
| funders[1].display_name | HORIZON EUROPE Marie Sklodowska-Curie Actions |
| is_xpac | False |
| apc_list.value | 3290 |
| apc_list.currency | USD |
| apc_list.value_usd | 3290 |
| apc_paid.value | 3290 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 3290 |
| concepts[0].id | https://openalex.org/C2781249084 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7449673414230347 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q908656 |
| concepts[0].display_name | Preference |
| concepts[1].id | https://openalex.org/C181204326 |
| concepts[1].level | 3 |
| concepts[1].score | 0.724584698677063 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7239820 |
| concepts[1].display_name | Preference learning |
| concepts[2].id | https://openalex.org/C110313322 |
| concepts[2].level | 2 |
| concepts[2].score | 0.7103101015090942 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7100793 |
| concepts[2].display_name | Ordinal regression |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6891789436340332 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C189430467 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6790227890014648 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7293293 |
| concepts[4].display_name | Ranking (information retrieval) |
| concepts[5].id | https://openalex.org/C81386100 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5892799496650696 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q7100792 |
| concepts[5].display_name | Ordinal optimization |
| concepts[6].id | https://openalex.org/C2986087404 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5245842337608337 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q15946010 |
| concepts[6].display_name | Online learning |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.49959421157836914 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| concepts[8].id | https://openalex.org/C2777868144 |
| concepts[8].level | 3 |
| concepts[8].score | 0.48461565375328064 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7239817 |
| concepts[8].display_name | Preference elicitation |
| concepts[9].id | https://openalex.org/C85461838 |
| concepts[9].level | 2 |
| concepts[9].score | 0.46688714623451233 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q7100785 |
| concepts[9].display_name | Ordinal data |
| concepts[10].id | https://openalex.org/C83546350 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4613296091556549 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1139051 |
| concepts[10].display_name | Regression |
| concepts[11].id | https://openalex.org/C119857082 |
| concepts[11].level | 1 |
| concepts[11].score | 0.45850732922554016 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[11].display_name | Machine learning |
| concepts[12].id | https://openalex.org/C105795698 |
| concepts[12].level | 1 |
| concepts[12].score | 0.2027500867843628 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[12].display_name | Statistics |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.18016991019248962 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C49774154 |
| concepts[14].level | 1 |
| concepts[14].score | 0.1154041588306427 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q131765 |
| concepts[14].display_name | Multimedia |
| keywords[0].id | https://openalex.org/keywords/preference |
| keywords[0].score | 0.7449673414230347 |
| keywords[0].display_name | Preference |
| keywords[1].id | https://openalex.org/keywords/preference-learning |
| keywords[1].score | 0.724584698677063 |
| keywords[1].display_name | Preference learning |
| keywords[2].id | https://openalex.org/keywords/ordinal-regression |
| keywords[2].score | 0.7103101015090942 |
| keywords[2].display_name | Ordinal regression |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.6891789436340332 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/ranking |
| keywords[4].score | 0.6790227890014648 |
| keywords[4].display_name | Ranking (information retrieval) |
| keywords[5].id | https://openalex.org/keywords/ordinal-optimization |
| keywords[5].score | 0.5892799496650696 |
| keywords[5].display_name | Ordinal optimization |
| keywords[6].id | https://openalex.org/keywords/online-learning |
| keywords[6].score | 0.5245842337608337 |
| keywords[6].display_name | Online learning |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.49959421157836914 |
| keywords[7].display_name | Artificial intelligence |
| keywords[8].id | https://openalex.org/keywords/preference-elicitation |
| keywords[8].score | 0.48461565375328064 |
| keywords[8].display_name | Preference elicitation |
| keywords[9].id | https://openalex.org/keywords/ordinal-data |
| keywords[9].score | 0.46688714623451233 |
| keywords[9].display_name | Ordinal data |
| keywords[10].id | https://openalex.org/keywords/regression |
| keywords[10].score | 0.4613296091556549 |
| keywords[10].display_name | Regression |
| keywords[11].id | https://openalex.org/keywords/machine-learning |
| keywords[11].score | 0.45850732922554016 |
| keywords[11].display_name | Machine learning |
| keywords[12].id | https://openalex.org/keywords/statistics |
| keywords[12].score | 0.2027500867843628 |
| keywords[12].display_name | Statistics |
| keywords[13].id | https://openalex.org/keywords/mathematics |
| keywords[13].score | 0.18016991019248962 |
| keywords[13].display_name | Mathematics |
| keywords[14].id | https://openalex.org/keywords/multimedia |
| keywords[14].score | 0.1154041588306427 |
| keywords[14].display_name | Multimedia |
| language | en |
| locations[0].id | doi:10.1016/j.ejor.2025.05.045 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S103321696 |
| locations[0].source.issn | 0377-2217, 1872-6860 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0377-2217 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | European Journal of Operational Research |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | European Journal of Operational Research |
| locations[0].landing_page_url | https://doi.org/10.1016/j.ejor.2025.05.045 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5117861838 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2514-1013 |
| authorships[0].author.display_name | Marco Grillo |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Marco Grillo |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5001603308 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5905-8069 |
| authorships[1].author.display_name | Wojciech Kotłowski |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wojciech Kotłowski |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5058649133 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1806-3715 |
| authorships[2].author.display_name | Miłosz Kadziński |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Miłosz Kadziński |
| authorships[2].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.ejor.2025.05.045 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guarantees |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12101 |
| primary_topic.field.id | https://openalex.org/fields/18 |
| primary_topic.field.display_name | Decision Sciences |
| primary_topic.score | 0.9955999851226807 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1803 |
| primary_topic.subfield.display_name | Management Science and Operations Research |
| primary_topic.display_name | Advanced Bandit Algorithms Research |
| related_works | https://openalex.org/W4399574212, https://openalex.org/W2058716166, https://openalex.org/W2503289023, https://openalex.org/W2525848170, https://openalex.org/W2023060082, https://openalex.org/W4399569456, https://openalex.org/W2798701209, https://openalex.org/W2237498897, https://openalex.org/W2050956826, https://openalex.org/W3021328243 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1016/j.ejor.2025.05.045 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S103321696 |
| best_oa_location.source.issn | 0377-2217, 1872-6860 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0377-2217 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | European Journal of Operational Research |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | European Journal of Operational Research |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.ejor.2025.05.045 |
| primary_location.id | doi:10.1016/j.ejor.2025.05.045 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S103321696 |
| primary_location.source.issn | 0377-2217, 1872-6860 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0377-2217 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | European Journal of Operational Research |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | European Journal of Operational Research |
| primary_location.landing_page_url | https://doi.org/10.1016/j.ejor.2025.05.045 |
| publication_date | 2025-06-07 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W1508384000, https://openalex.org/W6634666564, https://openalex.org/W1829008507, https://openalex.org/W2085345840, https://openalex.org/W4386969598, https://openalex.org/W4400624486, https://openalex.org/W2084668838, https://openalex.org/W2763110165, https://openalex.org/W2970428498, https://openalex.org/W3021341554, https://openalex.org/W4226437591, https://openalex.org/W3118695851, https://openalex.org/W2606368647, https://openalex.org/W2517834580, https://openalex.org/W4237883889, https://openalex.org/W2107602771, https://openalex.org/W2102426343, https://openalex.org/W6750111029, https://openalex.org/W6725453447, https://openalex.org/W6856880873, https://openalex.org/W4400967359, https://openalex.org/W4239966440, https://openalex.org/W1548865516, https://openalex.org/W2499828064, https://openalex.org/W2086046934, https://openalex.org/W2101285186, https://openalex.org/W2072890208, https://openalex.org/W2138907258, https://openalex.org/W4401116189, https://openalex.org/W3080481555, https://openalex.org/W2803523908, https://openalex.org/W2129160848, https://openalex.org/W6683719228, https://openalex.org/W2088314982, https://openalex.org/W1998198857, https://openalex.org/W4285148058, https://openalex.org/W2615126436, https://openalex.org/W2006700243, https://openalex.org/W4282840206, https://openalex.org/W4403417408, https://openalex.org/W6674439305, https://openalex.org/W2034489173, https://openalex.org/W7005955626, https://openalex.org/W6762822715, https://openalex.org/W2503966043, https://openalex.org/W2074692540, https://openalex.org/W6622984952, https://openalex.org/W2288174618, https://openalex.org/W2030911724, https://openalex.org/W2078858191, https://openalex.org/W3203685488, https://openalex.org/W4377019956, https://openalex.org/W4292022450, https://openalex.org/W6807736972, https://openalex.org/W1990119892, https://openalex.org/W3046617010, https://openalex.org/W3149261725, https://openalex.org/W4404724358, https://openalex.org/W2770479493, https://openalex.org/W2612972698, https://openalex.org/W1984514442, https://openalex.org/W3092286626, https://openalex.org/W1503398984, https://openalex.org/W2559655401, https://openalex.org/W4238772550, https://openalex.org/W1555867349, https://openalex.org/W2797203443, https://openalex.org/W3123545922, https://openalex.org/W1581610433, https://openalex.org/W1570963478, https://openalex.org/W4248247956, https://openalex.org/W4300001071, https://openalex.org/W173895910, https://openalex.org/W2478708596 |
| referenced_works_count | 74 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.2498774 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |