{"id":"https://openalex.org/W3209464967","doi":"https://doi.org/10.1145/3459637.3482298","title":"Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era","display_name":"Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3209464967","doi":"https://doi.org/10.1145/3459637.3482298","mag":"3209464967"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-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/A5000210993","display_name":"Shaoyuan Huang","orcid":"https://orcid.org/0000-0002-4091-6457"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoyuan Huang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373159","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0003-2159-9705"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363470","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0002-7223-1030"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337209","display_name":"Min Chen","orcid":"https://orcid.org/0000-0002-0960-4447"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380474","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0002-9059-330X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianxin Li","raw_affiliation_strings":["Deakin University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035919267","display_name":"Victor C. M. Leung","orcid":"https://orcid.org/0000-0003-3529-2640"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Victor C. M. Leung","raw_affiliation_strings":["Shenzhen University &amp; University of British Columbia, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University &amp; University of British Columbia, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000210993"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.4544,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73502704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"750","last_page":"759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9812999963760376,"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":0.8171716332435608},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5142952799797058},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45397448539733887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4463448226451874},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.43675413727760315},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.425054669380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.325096070766449},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13923123478889465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171716332435608},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5142952799797058},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45397448539733887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4463448226451874},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.43675413727760315},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.425054669380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.325096070766449},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13923123478889465},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4271281898","display_name":null,"funder_award_id":"No.2019YFB2101901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1598519330","https://openalex.org/W1599541430","https://openalex.org/W1618905105","https://openalex.org/W2009654461","https://openalex.org/W2110953678","https://openalex.org/W2114492868","https://openalex.org/W2159767430","https://openalex.org/W2204457080","https://openalex.org/W2362238774","https://openalex.org/W2398409936","https://openalex.org/W2514159439","https://openalex.org/W2532716006","https://openalex.org/W2762605243","https://openalex.org/W2809583854","https://openalex.org/W2886503398","https://openalex.org/W2898002755","https://openalex.org/W2901504064","https://openalex.org/W2951256120","https://openalex.org/W2962883549","https://openalex.org/W2963035276","https://openalex.org/W2963389592","https://openalex.org/W2974985463","https://openalex.org/W2996872438","https://openalex.org/W3035580605","https://openalex.org/W4249888970","https://openalex.org/W4253667614","https://openalex.org/W4254208929","https://openalex.org/W4256153045"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W3034529322","https://openalex.org/W2113597336","https://openalex.org/W2115913271","https://openalex.org/W2155505549","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2018648706"],"abstract_inverted_index":{"The":[0],"arrival":[1],"of":[2,10,21,40,61,153,166],"5G":[3],"networks":[4],"has":[5],"extensively":[6],"promoted":[7],"the":[8,18,37,56,121,125,132,141,151,154,164],"growth":[9],"content":[11],"delivery":[12],"services":[13],"(CDSs).":[14],"Understanding":[15],"and":[16,31,51,59,73,124,157],"predicting":[17,36],"spatio-temporal":[19,38,69,74,90],"distribution":[20,39],"CDSs":[22,41,68,78,103,117,148],"are":[23,42,84,160],"beneficial":[24],"to":[25,48,115,138,162],"mobile":[26,82],"users,":[27],"Internet":[28],"Content":[29],"Providers":[30],"carriers.":[32],"Conventional":[33],"methods":[34,66],"for":[35,67,100],"mostly":[43],"base-stations":[44],"(BSs)":[45],"centric,":[46],"leading":[47],"weak":[49],"generalization":[50,60],"spatio":[52,57,101,126],"coarse-grained.":[53],"To":[54],"improve":[55],"accuracy":[58],"modeling,":[62],"we":[63,93,130],"propose":[64,94],"user-centric":[65],"analysis.":[70],"With":[71],"geocoding":[72],"graphs":[75,88],"modeling":[76],"algorithms,":[77],"records":[79],"collected":[80],"from":[81],"devices":[83],"modeled":[85],"as":[86],"dynamic":[87],"with":[89],"attributes.":[91],"Moreover,":[92],"a":[95],"spatio-temporal-social":[96],"multi-feature":[97],"extraction":[98],"framework":[99],"fine-grained":[102],"hot":[104],"spots":[105],"prediction.":[106],"Specifically,":[107],"an":[108],"edge-enhanced":[109],"graph":[110],"convolutional":[111],"block":[112],"is":[113],"designed":[114],"encode":[116],"information":[118],"based":[119],"on":[120,145],"social":[122],"relations":[123],"dependence":[127],"features.":[128],"Besides,":[129],"introduce":[131],"Long":[133],"Short":[134],"Term":[135],"Memory":[136],"(LSTM)":[137],"further":[139],"capture":[140],"temporal":[142],"dependence.":[143],"Experiments":[144],"two":[146],"real-world":[147],"datasets":[149],"verified":[150],"effectiveness":[152],"proposed":[155],"framework,":[156],"ablation":[158],"studies":[159],"taken":[161],"evaluate":[163],"importance":[165],"each":[167],"feature.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
