{"id":"https://openalex.org/W7124430904","doi":"https://doi.org/10.1109/tmm.2026.3654454","title":"Copycat vs. Original: Multi-Modal Pretraining and Variable Importance in Box-Office Prediction","display_name":"Copycat vs. Original: Multi-Modal Pretraining and Variable Importance in Box-Office Prediction","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124430904","doi":"https://doi.org/10.1109/tmm.2026.3654454"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2026.3654454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3654454","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5123188393","display_name":"Qin Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qin Chao","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0009-0000-7958-1802","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123181716","display_name":"Eunsoo Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunsoo Kim","raw_affiliation_strings":["Business School, University of Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9332-5653","affiliations":[{"raw_affiliation_string":"Business School, University of Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123239760","display_name":"Boyang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Boyang Li","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6230-2376","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0454858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"4259","last_page":"4269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10758","display_name":"Cinema and Media Studies","score":0.6608999967575073,"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"}},"topics":[{"id":"https://openalex.org/T10758","display_name":"Cinema and Media Studies","score":0.6608999967575073,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.03460000082850456,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.03310000151395798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/copycat","display_name":"Copycat","score":0.9736999869346619},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5895000100135803},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5522000193595886},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5501000285148621},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5236999988555908},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5232999920845032},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5109999775886536},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.40139999985694885},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.3970000147819519}],"concepts":[{"id":"https://openalex.org/C130191384","wikidata":"https://www.wikidata.org/wiki/Q2996887","display_name":"Copycat","level":2,"score":0.9736999869346619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746000289916992},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5895000100135803},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5501000285148621},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5236999988555908},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5232999920845032},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4900999963283539},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C54040653","wikidata":"https://www.wikidata.org/wiki/Q1415395","display_name":"Film industry","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26919999718666077},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C137002209","wikidata":"https://www.wikidata.org/wiki/Q898521","display_name":"Hidden variable theory","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25949999690055847},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25600001215934753},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2026.3654454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3654454","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/212416","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/212416","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7441247701644897}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Movie":[0],"production":[1],"and":[2,48,51,117,138,151,159,175,197],"investment":[3],"are":[4],"associated":[5],"with":[6,166],"a":[7,25,41,82,108,153,185],"high":[8],"level":[9],"of":[10,105,125,145,172,178,188],"risk,":[11],"motivating":[12],"machine":[13],"learning":[14],"research":[15],"to":[16,55,67,94],"predict":[17,57],"box-office":[18,29,58,87,129,149,160,191],"revenue.":[19,59],"Furthermore,":[20],"identifying":[21],"variables":[22],"that":[23,110],"have":[24],"significant":[26],"influence":[27],"on":[28,99],"revenue":[30,130,192],"may":[31],"aid":[32],"in":[33,81,86,128,148,169],"human":[34],"decision-making.":[35],"In":[36],"this":[37,163],"study,":[38],"we":[39,91,121],"collect":[40],"large":[42],"movie":[43,49,65,71,190],"dataset,":[44],"including":[45],"user-generated":[46],"keywords":[47],"posters,":[50],"integrate":[52],"these":[53],"modalities":[54],"better":[56],"We":[60],"utilize":[61],"visual":[62],"information":[63],"from":[64],"posters":[66],"visually":[68],"ground":[69],"the":[70,100,103,123,143,170,176],"keywords,":[72,101],"thereby":[73],"acquiring":[74],"more":[75],"semantically":[76],"precise":[77],"text":[78],"representations,":[79],"resulting":[80],"substantial":[83],"14.5%":[84],"enhancement":[85],"prediction":[88,131,150],"accuracy.":[89],"Also,":[90],"develop":[92],"metrics":[93],"quantify":[95],"content":[96],"similarity":[97,177],"based":[98],"facilitating":[102],"identification":[104],"\u201ccopycat":[106],"movies,\u201d":[107],"term":[109],"can":[111],"be":[112],"extended":[113],"beyond":[114],"traditional":[115],"sequels":[116],"franchise":[118],"movies.":[119],"Subsequently,":[120],"analyze":[122],"importance":[124,144],"copycat":[126,146,157],"features":[127,147],"using":[132],"two":[133],"explanatory":[134],"methods:":[135],"Attention":[136],"Rollout":[137],"LIME.":[139],"Our":[140],"analyses":[141],"show":[142],"reveal":[152],"positive":[154],"relationship":[155],"between":[156],"movies":[158,174],"revenues.":[161],"However,":[162],"effect":[164],"diminishes":[165],"an":[167],"increase":[168],"number":[171],"similar":[173],"their":[179],"content.":[180],"Overall,":[181],"our":[182],"work":[183],"establishes":[184],"comprehensive":[186],"process":[187],"predicting":[189],"by":[193],"utilizing":[194],"multi-modal":[195],"data":[196],"providing":[198],"valuable":[199],"business":[200],"insights.":[201]},"counts_by_year":[],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2026-01-17T00:00:00"}