{"id":"https://openalex.org/W2963866076","doi":"https://doi.org/10.1109/iwcmc.2019.8766620","title":"Intelligent Tag Prediction Algorithms for Acupuncture Experts","display_name":"Intelligent Tag Prediction Algorithms for Acupuncture Experts","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2963866076","doi":"https://doi.org/10.1109/iwcmc.2019.8766620","mag":"2963866076"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2019.8766620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2019.8766620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","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/A5112956736","display_name":"Qingtao Zeng","orcid":"https://orcid.org/0000-0001-5161-9354"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingtao Zeng","raw_affiliation_strings":["Information Engineering Institute, Beijing Institute of Graphic Communication, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Institute, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018284169","display_name":"Anping Xu","orcid":"https://orcid.org/0000-0002-6822-601X"},"institutions":[{"id":"https://openalex.org/I17747738","display_name":"Beijing University of Chinese Medicine","ror":"https://ror.org/05damtm70","country_code":"CN","type":"education","lineage":["https://openalex.org/I17747738"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anping Xu","raw_affiliation_strings":["School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China","institution_ids":["https://openalex.org/I17747738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049914167","display_name":"Yeli Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeli Li","raw_affiliation_strings":["Information Engineering Institute, Beijing Institute of Graphic Communication, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Institute, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chunhe Piao","orcid":null},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhe Piao","raw_affiliation_strings":["College of Engineering of Yanbian University, Yanbian University, Jilin Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering of Yanbian University, Yanbian University, Jilin Province, China","institution_ids":["https://openalex.org/I1793135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68437421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":null,"first_page":"1150","last_page":"1153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9883000254631042,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7863047122955322},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.624181866645813},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5674043893814087},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.557403028011322},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5142757296562195},{"id":"https://openalex.org/keywords/acupuncture","display_name":"Acupuncture","score":0.5047672986984253},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4999969005584717},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4840890169143677},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.4414914548397064},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42934712767601013},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.41011613607406616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30019235610961914},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.1976892650127411},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13916587829589844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1382061243057251},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10254088044166565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7863047122955322},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.624181866645813},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5674043893814087},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.557403028011322},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5142757296562195},{"id":"https://openalex.org/C56837625","wikidata":"https://www.wikidata.org/wiki/Q121713","display_name":"Acupuncture","level":3,"score":0.5047672986984253},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4999969005584717},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4840890169143677},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.4414914548397064},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42934712767601013},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.41011613607406616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30019235610961914},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.1976892650127411},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13916587829589844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1382061243057251},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10254088044166565},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2019.8766620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2019.8766620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","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":13,"referenced_works":["https://openalex.org/W242866822","https://openalex.org/W1580203226","https://openalex.org/W1927168866","https://openalex.org/W1986620273","https://openalex.org/W2025605741","https://openalex.org/W2032488326","https://openalex.org/W2040501036","https://openalex.org/W2094487944","https://openalex.org/W2116623410","https://openalex.org/W2552142626","https://openalex.org/W2562163148","https://openalex.org/W2765086855","https://openalex.org/W6634678336"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W4312683641","https://openalex.org/W3027421045","https://openalex.org/W2576320324","https://openalex.org/W3013312691","https://openalex.org/W2980386803","https://openalex.org/W3215994059","https://openalex.org/W2319823519","https://openalex.org/W4206798987"],"abstract_inverted_index":{"How":[0],"to":[1,48,79,144,169,246],"further":[2],"improve":[3],"clinical":[4],"efficacy":[5],"of":[6,21,40,44,71,75,115,125,132,158,202,232,249,258],"acupuncture,":[7],"extend":[8],"its":[9],"application":[10],"range":[11],"is":[12,53,68,88,119,134,260],"a":[13,54,72,122],"key":[14,90],"issue":[15],"in":[16],"the":[17,26,51,64,82,89,130,207,226,247,250,256],"research":[18],"and":[19,30,33,42,60,103,129,141,148,204],"promotion":[20],"acupuncture.":[22],"Famous":[23],"acupuncturists":[24],"represent":[25],"highest":[27],"academic":[28],"level":[29],"treatment":[31],"ability,":[32],"have":[34,127,229],"an":[35,189,230],"important":[36],"influence":[37],"on":[38],"development":[39],"acupuncture":[41,105,195],"rehabilitation":[43],"patients.":[45],"Therefore,":[46],"how":[47,78],"accurately":[49,80],"find":[50,170],"acupuncturist":[52,84],"difficult":[55,168],"problem":[56],"for":[57,194],"both":[58],"patients":[59],"peer":[61],"doctors.":[62],"At":[63],"same":[65],"time,":[66],"Internet":[67],"also":[69],"full":[70],"large":[73],"number":[74,124,131],"false":[76],"information,":[77],"analyze":[81],"real":[83],"from":[85,107,180],"these":[86,96],"information":[87,100],"issue.":[91],"We":[92],"can":[93,176],"automatically":[94],"acquire":[95],"tags":[97,114,133,160,179,209,242,248],"by":[98,109,262],"using":[99],"collection":[101],"technology,":[102],"select":[104],"experts":[106],"them":[108],"combining":[110],"artificial":[111],"intelligence.":[112],"However,":[113],"social":[116,182],"network":[117],"users":[118,126,137,147,201,217],"sparse,":[120],"only":[121,138],"small":[123],"tags,":[128,163],"limited.":[135],"Most":[136],"publish":[139],"articles":[140],"pay":[142],"attention":[143],"other":[145],"interested":[146],"blogs.":[149],"They":[150],"do":[151],"not":[152],"tag":[153,191],"themselves.":[154],"There":[155],"are":[156,218,243],"problems":[157],"no":[159],"or":[161,253],"less":[162],"which":[164,197],"make":[165],"it":[166,236],"more":[167],"acupuncturists.":[171],"For":[172],"untagged":[173],"users,":[174,203],"we":[175,187],"consider":[177],"predicting":[178],"their":[181],"relationships.":[183],"In":[184],"this":[185],"paper,":[186],"design":[188],"intelligent":[190],"prediction":[192],"algorithms":[193],"experts,":[196],"first":[198],"predicts":[199,206],"intimate":[200,211],"then":[205,234],"users'":[208,212],"through":[210,222],"tags.":[213],"Firstly,":[214],"possible":[215],"close":[216],"selected":[219],"as":[220],"candidates":[221],"cosine":[223],"similarity.":[224],"If":[225],"user":[227,241],"doesn't":[228],"object":[231],"interest,":[233],"replace":[235],"with":[237],"his":[238],"fans.":[239,254],"Subsequently,":[240],"predicted":[244],"according":[245],"target":[251],"audience":[252],"Finally,":[255],"effectiveness":[257],"ITPAE":[259],"verified":[261],"simulation":[263],"experiments.":[264]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}