{"id":"https://openalex.org/W2065025592","doi":"https://doi.org/10.1162/neco_a_00008","title":"A Grouped Ranking Model for Item Preference Parameter","display_name":"A Grouped Ranking Model for Item Preference Parameter","publication_year":2010,"publication_date":"2010-06-23","ids":{"openalex":"https://openalex.org/W2065025592","doi":"https://doi.org/10.1162/neco_a_00008","mag":"2065025592","pmid":"https://pubmed.ncbi.nlm.nih.gov/20569175"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00008","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00008","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023633849","display_name":"Hideitsu Hino","orcid":"https://orcid.org/0000-0002-6405-4361"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hideitsu Hino","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Shinjuku, Tokyo 169-8555, Japan","School of Science and Engineering, Waseda University, Shinjuku, Tokyo, 169-8555, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo 169-8555, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo, 169-8555, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029328351","display_name":"Yu Fujimoto","orcid":"https://orcid.org/0000-0001-8475-0535"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Fujimoto","raw_affiliation_strings":["Department of Integrated Information Technology, Aoyama Gakuin University, Sagamihara, Kanagawa 229-8558, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Integrated Information Technology, Aoyama Gakuin University, Sagamihara, Kanagawa 229-8558, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091474846","display_name":"Noboru Murata","orcid":"https://orcid.org/0000-0002-4258-6877"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Murata","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Shinjuku, Tokyo 169-8555, Japan","School of Science and Engineering, Waseda University, Shinjuku, Tokyo, 169-8555, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo 169-8555, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo, 169-8555, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023633849"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.675,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81510925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"9","first_page":"2417","last_page":"2451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8041349649429321},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7256474494934082},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6242914795875549},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5109702348709106},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5003588199615479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4842662215232849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46650901436805725},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4337809681892395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39641064405441284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39084315299987793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32985156774520874},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32614171504974365}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8041349649429321},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7256474494934082},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6242914795875549},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5109702348709106},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5003588199615479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4842662215232849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46650901436805725},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4337809681892395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39641064405441284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39084315299987793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32985156774520874},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32614171504974365},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1162/neco_a_00008","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00008","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:20569175","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20569175","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.990.7457","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.990.7457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Hideitsu_Hino/publication/44693602_A_grouped_ranking_model_for_item_preference_parameter/links/00463520f19361b804000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.998.6716","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.998.6716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Hideitsu_Hino/publication/44693602_A_grouped_ranking_model_for_item_preference_parameter/links/00463520f19361b804000000.pdf?origin%3Dpublication_detail","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W43928053","https://openalex.org/W74708109","https://openalex.org/W1510073064","https://openalex.org/W1548789720","https://openalex.org/W1573082642","https://openalex.org/W1596709027","https://openalex.org/W1885050832","https://openalex.org/W1978753906","https://openalex.org/W2013784666","https://openalex.org/W2019575783","https://openalex.org/W2036632921","https://openalex.org/W2049633694","https://openalex.org/W2063445365","https://openalex.org/W2071601825","https://openalex.org/W2100119435","https://openalex.org/W2106373933","https://openalex.org/W2107496976","https://openalex.org/W2111939092","https://openalex.org/W2132708887","https://openalex.org/W2138740334","https://openalex.org/W2143756966","https://openalex.org/W2150735632","https://openalex.org/W2155106456","https://openalex.org/W2155912844","https://openalex.org/W2160637580","https://openalex.org/W2166023018","https://openalex.org/W2166473218","https://openalex.org/W2166563663","https://openalex.org/W2167267147","https://openalex.org/W2171960770","https://openalex.org/W2305586808","https://openalex.org/W2492794003","https://openalex.org/W2495505314","https://openalex.org/W2582743722","https://openalex.org/W2763110165","https://openalex.org/W2945608433","https://openalex.org/W2963059016","https://openalex.org/W2963737640","https://openalex.org/W2990138404","https://openalex.org/W3003252051","https://openalex.org/W4244394727","https://openalex.org/W4254749579"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W2931602588","https://openalex.org/W1986265453","https://openalex.org/W2035018219"],"abstract_inverted_index":{"Given":[0],"a":[1,7,17,47,83,114],"set":[2,8],"of":[3,9,14,19,43,78,126],"rating":[4],"data":[5,134],"for":[6],"items,":[10],"determining":[11],"preference":[12,41],"levels":[13],"items":[15],"is":[16,34,56,72,86,92,105,111],"matter":[18],"importance.":[20],"Various":[21],"probability":[22],"models":[23],"have":[24],"been":[25],"proposed":[26,80,109,128],"to":[27,58,74,94,113],"solve":[28],"this":[29,51],"task.":[30],"One":[31],"such":[32,64],"model":[33,55,81,97,110],"the":[35,40,53,76,79,89,96,101,124,127],"Plackett-Luce":[36,54],"model,":[37,116,129],"which":[38,104],"parameterizes":[39],"level":[42],"each":[44],"item":[45],"by":[46,99],"real":[48],"value.":[49],"In":[50],"letter,":[52],"generalized":[57],"cope":[59],"with":[60,132],"grouped":[61],"ranking":[62],"observations":[63],"as":[65],"movie":[66],"or":[67],"restaurant":[68],"ratings.":[69],"Since":[70],"it":[71],"difficult":[73],"maximize":[75],"likelihood":[77,103],"directly,":[82],"feasible":[84],"approximation":[85],"derived,":[87],"and":[88,117],"em":[90],"algorithm":[91],"adopted":[93],"find":[95],"parameter":[98],"maximizing":[100],"approximate":[102],"easily":[106],"evaluated.":[107],"The":[108],"extended":[112],"mixture":[115],"two":[118],"applications":[119],"are":[120,135],"proposed.":[121],"To":[122],"show":[123],"effectiveness":[125],"numerical":[130],"experiments":[131],"real-world":[133],"carried":[136],"out.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
