{"id":"https://openalex.org/W4401052246","doi":"https://doi.org/10.1007/s40747-024-01547-4","title":"A counterfactual explanation method based on modified group influence function for recommendation","display_name":"A counterfactual explanation method based on modified group influence function for recommendation","publication_year":2024,"publication_date":"2024-07-27","ids":{"openalex":"https://openalex.org/W4401052246","doi":"https://doi.org/10.1007/s40747-024-01547-4"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01547-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01547-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01547-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01547-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088713288","display_name":"Yupu Guo","orcid":"https://orcid.org/0000-0002-8582-859X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yupu Guo","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8582-859X","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066699855","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0002-5709-1682"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cai","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041609304","display_name":"Zhiqiang Pan","orcid":"https://orcid.org/0000-0001-5484-1743"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Pan","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006578545","display_name":"Taihua Shao","orcid":"https://orcid.org/0000-0002-2916-3167"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taihua Shao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026327666","display_name":"Honghui Chen","orcid":"https://orcid.org/0009-0003-5234-0592"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116410532","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0001-6388-9327"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088713288"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76689726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"10","issue":"6","first_page":"7631","last_page":"7643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.9941222667694092},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7067190408706665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365609765052795},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6176180243492126},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.561292290687561},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5411815047264099},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5006532669067383},{"id":"https://openalex.org/keywords/counterfactual-conditional","display_name":"Counterfactual conditional","score":0.4938848614692688},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.45643627643585205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4210616946220398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3709501326084137},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3572295904159546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26036888360977173},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23643839359283447},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.16624730825424194}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9941222667694092},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7067190408706665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365609765052795},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6176180243492126},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.561292290687561},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5411815047264099},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5006532669067383},{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.4938848614692688},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.45643627643585205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4210616946220398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3709501326084137},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3572295904159546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26036888360977173},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23643839359283447},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.16624730825424194},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01547-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01547-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01547-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d51565073d5e4e99831c2b5eb19a3637","is_oa":true,"landing_page_url":"https://doaj.org/article/d51565073d5e4e99831c2b5eb19a3637","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7631-7643 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01547-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01547-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01547-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401052246.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2054141820","https://openalex.org/W2214277653","https://openalex.org/W2282821441","https://openalex.org/W2605350416","https://openalex.org/W2788893025","https://openalex.org/W2964961855","https://openalex.org/W2966349618","https://openalex.org/W2970726176","https://openalex.org/W3024683329","https://openalex.org/W3034491755","https://openalex.org/W3035523484","https://openalex.org/W3093531652","https://openalex.org/W3105819862","https://openalex.org/W3129910862","https://openalex.org/W3152502472","https://openalex.org/W3153088333","https://openalex.org/W3153594481","https://openalex.org/W3161391306","https://openalex.org/W3175536494","https://openalex.org/W3196695903","https://openalex.org/W4212975546","https://openalex.org/W4224311926","https://openalex.org/W4284687474","https://openalex.org/W4307288541","https://openalex.org/W4309795480","https://openalex.org/W4310416255","https://openalex.org/W4315488047","https://openalex.org/W4321480031","https://openalex.org/W4321485188","https://openalex.org/W4327668311","https://openalex.org/W4360604571","https://openalex.org/W4360612299","https://openalex.org/W4362677879","https://openalex.org/W4367046993","https://openalex.org/W4367047369","https://openalex.org/W4379197104","https://openalex.org/W4384642752","https://openalex.org/W4384659778","https://openalex.org/W4385383266","https://openalex.org/W4387844290","https://openalex.org/W4388515789"],"related_works":["https://openalex.org/W2056582926","https://openalex.org/W3137864021","https://openalex.org/W2162910442","https://openalex.org/W2079879923","https://openalex.org/W4200271736","https://openalex.org/W2104420793","https://openalex.org/W3017854570","https://openalex.org/W2028689793","https://openalex.org/W4313936361","https://openalex.org/W4242448314"],"abstract_inverted_index":{"Abstract":[0],"In":[1,22,79,118,248],"recent":[2],"years,":[3],"recommendation":[4,218],"explanation":[5,35,48,76,89,108,238,270],"methods":[6,49],"have":[7],"received":[8],"widespread":[9],"attention":[10],"due":[11],"to":[12,15,69,178,210,266],"their":[13],"potentials":[14],"enhance":[16],"user":[17],"experience":[18],"and":[19,30,97,173,223],"streamline":[20],"transactions.":[21],"scenarios":[23],"where":[24],"auxiliary":[25],"information":[26,196],"such":[27,102],"as":[28,38,73,86],"text":[29],"attributes":[31],"are":[32],"lacking,":[33],"counterfactual":[34,47,75,88,107,153,189,237,246],"has":[36],"emerged":[37],"a":[39,55,87,106,121,128,257],"crucial":[40],"technique":[41],"for":[42,116,188],"explaining":[43],"recommendations.":[44,141],"However,":[45],"existing":[46],"encounter":[50],"two":[51,216,228],"primary":[52],"challenges.":[53],"First,":[54],"substantial":[56],"bias":[57],"indeed":[58],"exists":[59],"in":[60,94,140,244,260],"the":[61,64,70,74,81,137,146,152,158,161,166,170,176,184,193,202,212,235,249,267],"calculation":[62],"of":[63,83,131,186,204,234,262],"group":[65,77,138],"impact":[66,139],"function,":[67,149],"leading":[68],"inaccurate":[71,98],"predictions":[72],"expands.":[78],"addition,":[80],"importance":[82],"collaborative":[84,194],"filtering":[85,195],"is":[90],"overlooked,":[91],"which":[92,164],"results":[93],"lengthy,":[95],"narrow,":[96],"explanations.":[99,247],"To":[100,200],"address":[101],"issues,":[103],"we":[104,125,150,182,207],"propose":[105],"method":[109,239,255],"based":[110],"on":[111,169,227],"Modified":[112],"Group":[113],"Influence":[114],"Function":[115],"recommendation.":[117],"particular,":[119],"via":[120],"rigorous":[122],"formula":[123],"derivation,":[124],"demonstrate":[126],"that":[127],"simple":[129],"summation":[130],"individual":[132],"influence":[133,148,168],"functions":[134],"cannot":[135],"reflect":[136],"After":[142],"that,":[143],"building":[144],"upon":[145],"improved":[147],"construct":[151],"groups":[154,190],"by":[155,191,215],"iteratively":[156],"incorporating":[157,192],"individuals":[159],"from":[160,197],"training":[162],"samples,":[163],"possess":[165],"greatest":[167],"recommended":[171],"results,":[172],"continuously":[174],"adjusting":[175],"parameters":[177],"ensure":[179],"accuracy.":[180],"Finally,":[181],"expand":[183],"scope":[185],"searching":[187],"different":[198],"users.":[199],"evaluate":[201],"effectiveness":[203],"our":[205,253],"method,":[206],"employ":[208],"it":[209],"explain":[211],"recommendations":[213],"generated":[214],"common":[217],"models,":[219],"i.e.,":[220],"Matrix":[221],"Factorization":[222],"Neural":[224],"Collaborative":[225],"Filtering,":[226],"publicly":[229],"available":[230],"datasets.":[231],"The":[232],"evaluation":[233],"proposed":[236,254],"showcases":[240],"its":[241],"superior":[242],"performance":[243],"providing":[245],"most":[250],"significant":[251],"case,":[252],"achieves":[256],"17%":[258],"lead":[259],"terms":[261],"Counterfactual":[263],"precision":[264],"compared":[265],"best":[268],"baseline":[269],"method.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}