{"id":"https://openalex.org/W3009191255","doi":"https://doi.org/10.1109/globecom38437.2019.9013190","title":"Differentially Private Tree-Based Contextual Online Learning for Service Big Data Selection in IoT","display_name":"Differentially Private Tree-Based Contextual Online Learning for Service Big Data Selection in IoT","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009191255","doi":"https://doi.org/10.1109/globecom38437.2019.9013190","mag":"3009191255"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028071283","display_name":"Weiguang Zhao","orcid":null},"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":"Weiguang Zhao","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010153030","display_name":"Mingxuan Chen","orcid":"https://orcid.org/0000-0002-3725-3197"},"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":"Mingxuan Chen","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049887282","display_name":"Difan Mu","orcid":null},"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":"Difan Mu","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693197","display_name":"Pan Zhou","orcid":"https://orcid.org/0000-0002-8629-4622"},"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":"Pan Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005823613","display_name":"Kehao Wang","orcid":"https://orcid.org/0000-0001-9843-8104"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehao Wang","raw_affiliation_strings":["Wuhan University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.26966827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.817668616771698},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.566315770149231},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5246736407279968},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.5106948018074036},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.45978453755378723},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.445687860250473},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4440048635005951},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4271864593029022},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4262222349643707},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41896340250968933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37420472502708435},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37389326095581055},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36813125014305115},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3297889530658722},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27299046516418457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.817668616771698},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.566315770149231},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5246736407279968},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.5106948018074036},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.45978453755378723},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.445687860250473},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4440048635005951},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4271864593029022},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4262222349643707},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41896340250968933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37420472502708435},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37389326095581055},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36813125014305115},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3297889530658722},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27299046516418457},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1972620622","https://openalex.org/W1993116423","https://openalex.org/W2011511076","https://openalex.org/W2027595342","https://openalex.org/W2100235918","https://openalex.org/W2112420033","https://openalex.org/W2120090487","https://openalex.org/W2123820077","https://openalex.org/W2134295053","https://openalex.org/W2146356176","https://openalex.org/W2168405694","https://openalex.org/W2318574661","https://openalex.org/W2513938788","https://openalex.org/W2557201312","https://openalex.org/W2607004375","https://openalex.org/W2834662706","https://openalex.org/W2901015539","https://openalex.org/W6643538298","https://openalex.org/W6678102440"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"With":[0],"the":[1,15,38,49,62,66,79,118,136,164],"rapidly":[2],"growing":[3],"number":[4],"of":[5,17,37,43,46,121,134,167],"connected":[6],"smart":[7],"devices":[8],"deployed":[9],"and":[10,28,48,73,123,156,174,192],"diverse":[11,157],"services":[12,22,51,113,137],"provided":[13],"in":[14,61,78],"Internet":[16],"Things":[18],"(IoT),":[19],"selecting":[20],"proper":[21],"for":[23,106,114],"users":[24,47],"is":[25],"becoming":[26],"more":[27,29],"important.":[30],"However,":[31],"challenges":[32],"exist":[33],"as":[34,138],"a":[35,98,143,171,187],"result":[36],"highly":[39],"heterogeneous":[40],"environments,":[41],"characteristics":[42],"various":[44],"kinds":[45],"myriad":[50],"offered":[52],"by":[53],"many":[54],"service":[55,108,193],"providers,":[56],"which":[57,151],"have":[58],"promising":[59],"applications":[60],"IoT":[63,80,107],"era.":[64],"In":[65],"meantime,":[67],"users'":[68,124],"contexts":[69],"(e.g.,":[70],"location,":[71],"time,":[72],"surroundings)":[74],"are":[75],"wildly":[76],"utilized":[77],"scenario":[81],"to":[82,110,148],"better":[83],"satisfy":[84],"individuals'":[85],"demands,":[86],"raising":[87],"privacy":[88],"issues":[89],"among":[90],"people.":[91],"To":[92],"address":[93],"these":[94],"problems,":[95],"we":[96,141],"proposed":[97],"differentially":[99],"private":[100],"tree-based":[101],"contextual":[102],"online":[103],"learning":[104],"approach":[105,169],"selection":[109,194],"select":[111,149],"suitable":[112],"users.":[115],"Leveraging":[116],"on":[117],"historical":[119],"records":[120],"services'":[122],"feedback,":[125],"our":[126,168,175],"algorithm":[127],"achieves":[128],"high":[129],"prediction":[130],"accuracy.":[131,195],"Besides,":[132],"instead":[133],"considering":[135],"individual":[139],"items,":[140],"utilize":[142],"top-down":[144],"cover":[145],"tree":[146],"structure":[147],"services,":[150],"supports":[152],"increasing":[153],"large-scale":[154],"dataset":[155],"natural":[158],"conditions.":[159],"We":[160],"theoretically":[161],"prove":[162],"that":[163,178],"accumulative":[165],"regret":[166],"has":[170],"sublinear":[172],"bound":[173],"experiment":[176],"confirms":[177],"it":[179],"can":[180],"handle":[181],"big":[182],"data":[183],"problems":[184],"while":[185],"achieving":[186],"balance":[188],"between":[189],"privacy-preserving":[190],"level":[191]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}