{"id":"https://openalex.org/W2091112479","doi":"https://doi.org/10.1007/s10115-010-0326-8","title":"Product selection for promotion planning","display_name":"Product selection for promotion planning","publication_year":2010,"publication_date":"2010-07-20","ids":{"openalex":"https://openalex.org/W2091112479","doi":"https://doi.org/10.1007/s10115-010-0326-8","mag":"2091112479"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-010-0326-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-010-0326-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-010-0326-8.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10115-010-0326-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101660538","display_name":"Yinghui Yang","orcid":"https://orcid.org/0000-0001-6984-0102"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]},{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["RU","US"],"is_corresponding":true,"raw_author_name":"Yinghui Yang","raw_affiliation_strings":["Graduate School of Management, University of California, Davis, CA, 95616, USA","University of California, Graduate School of Management, 95616, Davis, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Management, University of California, Davis, CA, 95616, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"University of California, Graduate School of Management, 95616, Davis, CA, USA#TAB#","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011105063","display_name":"Chunhui Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhui Hao","raw_affiliation_strings":["Chinese Academy of Sciences, 100190, Beijing, China","Chinese Academy of Sciences, 100190, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, 100190, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, 100190, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101660538"],"corresponding_institution_ids":["https://openalex.org/I172901346","https://openalex.org/I84218800"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":2.2633,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92823412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"1","first_page":"223","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9948999881744385,"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/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/profit-maximization","display_name":"Profit maximization","score":0.6348519921302795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.625715970993042},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.61555016040802},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5425177216529846},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.5408487915992737},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4746604263782501},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.45740583539009094},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.446067214012146},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43938368558883667},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4346977472305298},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41999801993370056},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3576836585998535},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2829132378101349},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22523099184036255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17535239458084106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1693812906742096},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11502614617347717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11494287848472595},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.084622323513031}],"concepts":[{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.6348519921302795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625715970993042},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.61555016040802},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5425177216529846},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.5408487915992737},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4746604263782501},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.45740583539009094},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.446067214012146},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43938368558883667},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4346977472305298},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41999801993370056},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3576836585998535},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2829132378101349},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22523099184036255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17535239458084106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1693812906742096},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11502614617347717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11494287848472595},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.084622323513031},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-010-0326-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-010-0326-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-010-0326-8.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10115-010-0326-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-010-0326-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-010-0326-8.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5860269432","display_name":null,"funder_award_id":"70890084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7377025978","display_name":"\u793e\u4f1a\u7f51\u7edc\u7ed3\u6784\u6f14\u5316\u89c4\u5f8b\u53ca\u5176\u5bf9\u975e\u5e38\u89c4\u7a81\u53d1\u4e8b\u4ef6\u5904\u7f6e\u7b56\u7565\u7684\u5f71\u54cd","funder_award_id":"90924302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2091112479.pdf","grobid_xml":"https://content.openalex.org/works/W2091112479.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1483679765","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1965107048","https://openalex.org/W1979943645","https://openalex.org/W2002635374","https://openalex.org/W2030969394","https://openalex.org/W2037965136","https://openalex.org/W2047764200","https://openalex.org/W2055693517","https://openalex.org/W2058151187","https://openalex.org/W2068367324","https://openalex.org/W2068986562","https://openalex.org/W2073184692","https://openalex.org/W2077687926","https://openalex.org/W2084266400","https://openalex.org/W2102423866","https://openalex.org/W2112645123","https://openalex.org/W2115482638","https://openalex.org/W2120610831","https://openalex.org/W2151424115","https://openalex.org/W2163407464","https://openalex.org/W2166559705","https://openalex.org/W2998574808","https://openalex.org/W3124500396","https://openalex.org/W4247187208","https://openalex.org/W4248966671","https://openalex.org/W4253336088"],"related_works":["https://openalex.org/W2798679696","https://openalex.org/W2011919358","https://openalex.org/W2381162205","https://openalex.org/W3142226160","https://openalex.org/W70007219","https://openalex.org/W2266384180","https://openalex.org/W2467574439","https://openalex.org/W3125420904","https://openalex.org/W2073874772","https://openalex.org/W2268480731"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"a":[3,23,44,103],"very":[4],"important":[5],"question\u2014how":[6],"to":[7,12,16,25,48,53,59,62,70,102],"select":[8],"the":[9,30,34,50],"right":[10,51],"products":[11,52],"promote":[13],"in":[14],"order":[15],"maximize":[17],"promotional":[18],"benefit.":[19],"We":[20],"set":[21],"up":[22],"framework":[24,89],"incorporate":[26],"promotion":[27],"decisions":[28],"into":[29],"data-mining":[31],"process,":[32],"formulate":[33],"profit":[35,100],"maximization":[36],"problem":[37],"as":[38],"an":[39],"optimization":[40],"problem,":[41],"and":[42,66,82,90,95],"propose":[43],"heuristic":[45],"search":[46],"solution":[47,69],"discover":[49],"promote.":[54],"Moreover,":[55],"we":[56],"are":[57,92],"able":[58],"get":[60],"access":[61],"real":[63,83],"supermarket":[64,84],"data":[65,81,85],"apply":[67],"our":[68,88],"help":[71],"achieve":[72],"higher":[73],"profits.":[74],"Our":[75],"experimental":[76],"results":[77],"on":[78],"both":[79],"synthetic":[80],"demonstrate":[86],"that":[87],"method":[91],"highly":[93],"effective":[94],"can":[96],"potentially":[97],"bring":[98],"huge":[99],"gains":[101],"marketing":[104],"campaign.":[105]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}