{"id":"https://openalex.org/W4321786095","doi":"https://doi.org/10.1145/3585389","title":"Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs","display_name":"Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4321786095","doi":"https://doi.org/10.1145/3585389"},"language":"en","primary_location":{"id":"doi:10.1145/3585389","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3585389","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3585389","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3585389","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081101711","display_name":"Yihong Zhang","orcid":"https://orcid.org/0000-0002-4758-9911"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yihong Zhang","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010764369","display_name":"Xiu Susie Fang","orcid":"https://orcid.org/0000-0003-1527-9270"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Susie Fang","raw_affiliation_strings":["Donghua University, Songjiang District, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Donghua University, Songjiang District, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081101711"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.6533,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63754456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":"7","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980999827384949,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7857921719551086},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6076515913009644},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.564067542552948},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5604152083396912},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5451502203941345},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5400965213775635},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5364544987678528},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5317308902740479},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46057888865470886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45060986280441284},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4412963092327118},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41161221265792847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3868580162525177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37267887592315674},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3230242133140564},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26521795988082886},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.1915191411972046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1138063371181488},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10613974928855896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7857921719551086},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6076515913009644},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.564067542552948},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5604152083396912},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5451502203941345},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5400965213775635},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5364544987678528},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5317308902740479},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46057888865470886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45060986280441284},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4412963092327118},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41161221265792847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3868580162525177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37267887592315674},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3230242133140564},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26521795988082886},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.1915191411972046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1138063371181488},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10613974928855896},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3585389","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3585389","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3585389","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3585389","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3585389","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3585389","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G3282004645","display_name":null,"funder_award_id":"JPMJCR","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G5791763272","display_name":null,"funder_award_id":"JPMJCR21F2","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321786095.pdf","grobid_xml":"https://content.openalex.org/works/W4321786095.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1521478692","https://openalex.org/W1600006923","https://openalex.org/W1902237438","https://openalex.org/W1947985544","https://openalex.org/W2039355801","https://openalex.org/W2042281163","https://openalex.org/W2048195127","https://openalex.org/W2053968437","https://openalex.org/W2058148593","https://openalex.org/W2059851891","https://openalex.org/W2069870183","https://openalex.org/W2101746535","https://openalex.org/W2105400363","https://openalex.org/W2122646361","https://openalex.org/W2147876157","https://openalex.org/W2154053567","https://openalex.org/W2158396349","https://openalex.org/W2171468534","https://openalex.org/W2308864855","https://openalex.org/W2464243336","https://openalex.org/W2531563875","https://openalex.org/W2550588640","https://openalex.org/W2556744667","https://openalex.org/W2596567068","https://openalex.org/W2604314403","https://openalex.org/W2604591718","https://openalex.org/W2794282654","https://openalex.org/W2809468846","https://openalex.org/W2885650385","https://openalex.org/W2894776929","https://openalex.org/W2896443452","https://openalex.org/W2897098357","https://openalex.org/W2912083425","https://openalex.org/W2912500072","https://openalex.org/W2912906653","https://openalex.org/W2913059114","https://openalex.org/W2913106281","https://openalex.org/W2913282099","https://openalex.org/W2913556077","https://openalex.org/W2952375801","https://openalex.org/W2985331920","https://openalex.org/W3004508540","https://openalex.org/W3010885397","https://openalex.org/W3105667161","https://openalex.org/W3119488485","https://openalex.org/W3136217363","https://openalex.org/W3145013517","https://openalex.org/W3183774761","https://openalex.org/W3200579565","https://openalex.org/W3203815061","https://openalex.org/W3208196295","https://openalex.org/W3209888570","https://openalex.org/W3210351183","https://openalex.org/W3211309956","https://openalex.org/W3211965880","https://openalex.org/W3215776227","https://openalex.org/W4231061463","https://openalex.org/W4231510805","https://openalex.org/W4244195804","https://openalex.org/W4245942730","https://openalex.org/W4280612842","https://openalex.org/W4288708238","https://openalex.org/W4302322635"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W3186997021","https://openalex.org/W4200618314","https://openalex.org/W4308088897","https://openalex.org/W4286432911"],"abstract_inverted_index":{"Social":[0],"media":[1,32],"as":[2,16,53,55],"a":[3,46,106],"background":[4,33],"information":[5],"source":[6],"has":[7,76],"been":[8],"utilized":[9],"in":[10,36,110],"many":[11],"practical":[12,112],"computational":[13],"tasks,":[14],"such":[15],"stock":[17],"price":[18],"prediction,":[19,121],"epidemic":[20],"tracking,":[21],"and":[22,69,94,128,147],"product":[23,139],"recommendation.":[24],"However,":[25],"proper":[26],"representation":[27,47,80,123,142],"of":[28,59,87,92,98,108],"an":[29,37],"evolving":[30],"social":[31],"is":[34,64],"still":[35],"early":[38],"research":[39],"stage.":[40],"In":[41,118,137],"this":[42],"article,":[43],"we":[44],"propose":[45],"method":[48,63,75,104],"that":[49],"considers":[50],"temporal":[51,90],"novelties":[52],"well":[54],"the":[56,67,85,89,95,134,153],"fine":[57],"details":[58],"word":[60],"inter-dependencies.":[61],"Our":[62],"based":[65],"on":[66],"tf-idf":[68,93],"graph":[70,99],"embedding":[71],"techniques.":[72],"The":[73],"proposed":[74],"superiority":[77],"over":[78],"other":[79],"methods":[81],"because":[82],"it":[83],"takes":[84],"advantage":[86],"both":[88],"aspect":[91,97],"semantic":[96],"embeddings.":[100],"We":[101],"compare":[102],"our":[103,122,141],"with":[105],"variety":[107],"baselines":[109],"two":[111],"application":[113],"scenarios":[114],"using":[115],"real-world":[116],"data.":[117],"tweet":[119],"popularity":[120],"achieves":[124,143],"5.7%":[125],"less":[126],"error":[127],"12.8%":[129],"higher":[130,145,149],"correlation":[131],"compared":[132,151],"to":[133,152],"best":[135,154],"baseline.":[136,155],"e-commerce":[138],"recommendation,":[140],"17%":[144],"hit-rate":[146],"20%":[148],"NDCG":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
