{"id":"https://openalex.org/W4392823441","doi":"https://doi.org/10.1145/3638584.3638602","title":"User entity alignment method based on cross-attribute knowledge association","display_name":"User entity alignment method based on cross-attribute knowledge association","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392823441","doi":"https://doi.org/10.1145/3638584.3638602"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638602","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638584.3638602","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638584.3638602","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","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/10.1145/3638584.3638602","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076739634","display_name":"Meijuan Yin","orcid":"https://orcid.org/0000-0002-0066-1971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meijuan Yin","raw_affiliation_strings":["Key Laboratory of Cyberspace Situation Awareness of Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0002-0066-1971","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Situation Awareness of Henan Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068908485","display_name":"Yan Zheng","orcid":"https://orcid.org/0000-0002-6306-682X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Zheng","raw_affiliation_strings":["Key Laboratory of Cyberspace Situation Awareness of Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0002-6306-682X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Situation Awareness of Henan Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027125738","display_name":"Shunran Duan","orcid":"https://orcid.org/0000-0002-6376-461X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunran Duan","raw_affiliation_strings":["Key Laboratory of Cyberspace Situation Awareness of Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0002-6376-461X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Situation Awareness of Henan Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051154896","display_name":"Longlong Jiao","orcid":"https://orcid.org/0009-0006-4256-384X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longlong Jiao","raw_affiliation_strings":["Key Laboratory of Cyberspace Situation Awareness of Henan Province, China"],"raw_orcid":"https://orcid.org/0009-0006-4256-384X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Situation Awareness of Henan Province, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062295572","display_name":"Hao Yang","orcid":"https://orcid.org/0009-0007-7245-1010"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Key Laboratory of Cyberspace Situation Awareness of Henan Province, China"],"raw_orcid":"https://orcid.org/0009-0007-7245-1010","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Situation Awareness of Henan Province, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4804,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6713555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9943000078201294,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.993399977684021,"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":0.769447922706604},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.639521062374115},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5300288796424866},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43239644169807434},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3635416328907013},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3571927845478058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3505329489707947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769447922706604},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.639521062374115},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5300288796424866},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43239644169807434},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3635416328907013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3571927845478058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3505329489707947},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1145/3638584.3638602","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638584.3638602","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638584.3638602","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3638584.3638602","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638584.3638602","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638584.3638602","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6343666517","display_name":null,"funder_award_id":"U23A20305","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392823441.pdf","grobid_xml":"https://content.openalex.org/works/W4392823441.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1496564895","https://openalex.org/W1597082186","https://openalex.org/W1601463586","https://openalex.org/W1964189668","https://openalex.org/W1966051303","https://openalex.org/W2026910242","https://openalex.org/W2053062910","https://openalex.org/W2102086994","https://openalex.org/W2109215439","https://openalex.org/W2127795553","https://openalex.org/W2165424625","https://openalex.org/W2316948402","https://openalex.org/W2397525010","https://openalex.org/W2608223753","https://openalex.org/W2639656980","https://openalex.org/W2778419691","https://openalex.org/W2782437235","https://openalex.org/W2786764521","https://openalex.org/W2794249836","https://openalex.org/W2903692119","https://openalex.org/W2951938755","https://openalex.org/W2964855489","https://openalex.org/W3004666086","https://openalex.org/W3048763270","https://openalex.org/W3116008906","https://openalex.org/W3138302250","https://openalex.org/W3209255587","https://openalex.org/W4239110337","https://openalex.org/W4246652336","https://openalex.org/W6606495866","https://openalex.org/W6669030076","https://openalex.org/W6675036076","https://openalex.org/W6681952448","https://openalex.org/W6683906833"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560"],"abstract_inverted_index":{"User":[0],"entity":[1,65,203],"alignment":[2,66],"is":[3,17,35,99,121,141,154,168],"the":[4,47,58,74,78,84,92,103,106,110,115,124,128,134,137,144,150,163,177,185,192,201,224,237],"core":[5],"technology":[6],"of":[7,18,50,95,105,112,146,191],"associating":[8],"multisource":[9,51],"user":[10,14,40,52,64,79,151,166],"identities":[11],"and":[12,31,91,162,188,217,227,233],"constructing":[13],"portraits,":[15],"which":[16],"great":[19],"significance":[20],"in":[21,77,87],"cyberspace":[22],"security,":[23],"personalized":[24],"service":[25],"recommendation,":[26],"social":[27],"network,":[28],"data":[29,53],"mining,":[30],"other":[32],"fields.":[33],"It":[34],"difficult":[36],"to":[37,83,131,170,176],"accurately":[38,132],"align":[39],"entities":[41,86],"based":[42,68,213,219],"on":[43,69,200,214,220],"common":[44,48,215],"attributes":[45,49,216],"when":[46],"are":[54,81,195,230],"sparse.":[55],"Aiming":[56],"at":[57],"above":[59],"problem,":[60],"we":[61],"propose":[62],"a":[63,88],"method":[67,194],"cross-attribute":[70],"knowledge":[71,89,107,113,116,221],"association.":[72],"Firstly,":[73],"attribute":[75,97,119,125,135,138,147,159],"values":[76,120],"information":[80],"linked":[82],"corresponding":[85],"graph,":[90,114],"representation":[93,152],"vector":[94,153],"each":[96],"value":[98,160],"obtained":[100],"by":[101,143,156],"embedding":[102],"subgraph":[104],"graph.":[108],"With":[109],"help":[111],"association":[117],"between":[118,165],"embedded":[122],"into":[123],"vectors.":[126],"At":[127],"same":[129,178],"time,":[130],"measure":[133],"weight,":[136],"identification":[139],"degree":[140],"calculated":[142,169],"distribution":[145],"values.":[148],"Finally,":[149],"generated":[155],"weighted":[157],"cumulative":[158],"vectors,":[161],"similarity":[164],"vectors":[167],"judge":[171],"whether":[172],"two":[173],"users":[174],"refer":[175],"person":[179,202],"entity.":[180],"Experimental":[181],"results":[182],"demonstrate":[183],"that,":[184],"accuracy,":[186,225],"recall,":[187,226],"F1":[189,228],"score":[190,229],"proposed":[193],"not":[196],"less":[197],"than":[198,236],"0.87":[199],"dataset":[204],"with":[205,209],"sparse":[206],"attributes.":[207],"Compared":[208],"existing":[210],"typical":[211],"methods":[212,218],"graph":[222],"embedding,":[223],"12%,":[231],"7%":[232],"10%":[234],"higher":[235],"comparative":[238],"algorithm":[239],"respectively.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2025-10-10T00:00:00"}
