{"id":"https://openalex.org/W4388192093","doi":"https://doi.org/10.1145/3581783.3612843","title":"Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts","display_name":"Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388192093","doi":"https://doi.org/10.1145/3581783.3612843"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612843","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007305393","display_name":"Chih\u2013Chung Hsu","orcid":"https://orcid.org/0000-0002-2083-4438"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chung Hsu","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan Roc"],"raw_orcid":"https://orcid.org/0000-0002-2083-4438","affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan Roc","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034075233","display_name":"Chia-Ming Lee","orcid":"https://orcid.org/0009-0004-6027-3083"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Ming Lee","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan Roc"],"raw_orcid":"https://orcid.org/0009-0004-6027-3083","affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan Roc","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078080950","display_name":"Xiu-Yu Hou","orcid":"https://orcid.org/0009-0009-4020-1767"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xiu-Yu Hou","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan Roc"],"raw_orcid":"https://orcid.org/0009-0009-4020-1767","affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan Roc","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054511521","display_name":"Chi-Han Tsai","orcid":"https://orcid.org/0009-0003-8298-3230"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Han Tsai","raw_affiliation_strings":["National Cheng Kung University, NEED, Taiwan Roc"],"raw_orcid":"https://orcid.org/0009-0003-8298-3230","affiliations":[{"raw_affiliation_string":"National Cheng Kung University, NEED, Taiwan Roc","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":4.1283,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95525548,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9451","last_page":"9455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8382338285446167},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6688392758369446},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.622840940952301},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5847348570823669},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5664392113685608},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5343579053878784},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.520121693611145},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5156270861625671},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47938135266304016},{"id":"https://openalex.org/keywords/alias","display_name":"Alias","score":0.4589570164680481},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45447593927383423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4342309832572937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41169559955596924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40175360441207886},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3310697078704834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8382338285446167},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6688392758369446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.622840940952301},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5847348570823669},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5664392113685608},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5343579053878784},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.520121693611145},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5156270861625671},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47938135266304016},{"id":"https://openalex.org/C46681722","wikidata":"https://www.wikidata.org/wiki/Q4725589","display_name":"Alias","level":2,"score":0.4589570164680481},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45447593927383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4342309832572937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41169559955596924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40175360441207886},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3310697078704834},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7457002007","display_name":null,"funder_award_id":"112-2221-E-006 -157 -MY3;112-2218-E-035 -001","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320324663","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388192093.pdf","grobid_xml":"https://content.openalex.org/works/W4388192093.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W2070337735","https://openalex.org/W2294798173","https://openalex.org/W2295598076","https://openalex.org/W2472257696","https://openalex.org/W2890911037","https://openalex.org/W2970641574","https://openalex.org/W2981384194","https://openalex.org/W2982275182","https://openalex.org/W3047853322","https://openalex.org/W3093352728","https://openalex.org/W3100806282","https://openalex.org/W4304014444","https://openalex.org/W4304087063","https://openalex.org/W4304092597","https://openalex.org/W4304098547","https://openalex.org/W6610017368","https://openalex.org/W6931259419"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Social":[0],"media":[1],"popularity":[2],"(SMP)":[3],"prediction":[4,169],"is":[5,25,70],"a":[6,44,66,86],"complex":[7],"task,":[8],"affected":[9],"by":[10,54],"various":[11],"features":[12,27,58,78,95,110,129,151],"such":[13],"as":[14],"text,":[15],"images,":[16],"and":[17,91,130,135,152],"spatial-temporal":[18],"information.":[19,40],"One":[20],"major":[21],"challenge":[22],"in":[23,89],"SMP":[24,52,63,172],"integrating":[26],"from":[28,60],"multiple":[29],"modalities":[30],"without":[31],"overemphasizing":[32],"user-specific":[33,153],"details":[34],"while":[35],"efficiently":[36],"capturing":[37],"relevant":[38],"user":[39],"This":[41,99],"study":[42],"introduces":[43],"robust":[45],"multi-modality":[46],"feature":[47],"mining":[48],"framework":[49,141],"for":[50],"predicting":[51],"scores":[53],"incorporating":[55],"additional":[56],"identity-related":[57,109,128,161],"sourced":[59],"the":[61,81,108,124,133,168],"official":[62],"dataset":[64],"when":[65],"user's":[67],"path":[68],"alias":[69],"accessible.":[71],"Our":[72,155],"preliminary":[73],"analyses":[74],"suggest":[75],"these":[76,160],"supplemental":[77],"significantly":[79,166],"enrich":[80],"user-related":[82],"context,":[83],"contributing":[84],"to":[85,142],"substantial":[87],"improvement":[88],"performance":[90,170],"proving":[92],"that":[93,101,159],"non-identity":[94],"are":[96,137],"relatively":[97],"unimportant.":[98],"implies":[100],"we":[102,119],"should":[103],"focus":[104],"more":[105],"on":[106],"discovering":[107],"than":[111],"other":[112],"meta-data.":[113],"To":[114],"further":[115],"validate":[116],"our":[117,140],"findings,":[118],"perform":[120],"comprehensive":[121],"experiments":[122],"investigating":[123],"relationship":[125],"between":[126],"those":[127],"scores.":[131],"Finally,":[132],"LightGBM":[134],"TabNet":[136],"employed":[138],"within":[139],"effectively":[143],"capture":[144],"intricate":[145],"semantic":[146],"relationships":[147],"among":[148],"different":[149],"modality":[150],"data.":[154],"experimental":[156],"results":[157],"confirm":[158],"features,":[162],"especially":[163],"external":[164],"ones,":[165],"improve":[167],"of":[171],"tasks.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}