乐胖代购免代理版

{"id":"https://openalex.org/W4239874211","doi":"https://doi.org/10.1109/asonam.2016.7752345","title":"FriendRank: A personalized approach for tweets ranking in social networks","display_name":"FriendRank: A personalized approach for tweets ranking in social networks","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W4239874211","doi":"https://doi.org/10.1109/asonam.2016.7752345"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752345","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100400766","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-9736-6978"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048206908","display_name":"Linfeng Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfeng Luo","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618342","display_name":"Miao Lin","orcid":"https://orcid.org/0000-0002-2325-9811"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Miao","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109879581","display_name":"Yibo Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Xue","raw_affiliation_strings":["Research Institute of Information Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Information Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053235446","display_name":"Zhiyun Zhao","orcid":"https://orcid.org/0000-0001-5950-2732"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyun Zhao","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344974","display_name":"Zhenyu Wang","orcid":"https://orcid.org/0000-0002-9815-8775"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.52,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.829487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":85},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991,"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":0.9991,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9979,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9978,"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/internet-users","display_name":"Internet users","score":0.45076406}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8247236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81094885},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.70786774},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.62038964},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49603757},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48801962},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4839952},{"id":"https://openalex.org/C3019036681","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"Internet users","level":3,"score":0.45076406},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.413504},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35969836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752345","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1561650654","https://openalex.org/W2048508267","https://openalex.org/W2098697179","https://openalex.org/W2108862644","https://openalex.org/W2120730911","https://openalex.org/W2134665031","https://openalex.org/W2142537246","https://openalex.org/W2145131124","https://openalex.org/W2162059449","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4285465044","https://openalex.org/W2947876715","https://openalex.org/W2366611053","https://openalex.org/W2270187681","https://openalex.org/W2064423464","https://openalex.org/W2042998190","https://openalex.org/W2007730130","https://openalex.org/W2000618435","https://openalex.org/W1979174323","https://openalex.org/W1731610764"],"abstract_inverted_index":{"The":[0,112],"thousands":[1],"of":[2],"streaming":[3],"data":[4],"overwhelmingly":[5],"provide":[6],"for":[7,15,51,97],"Internet":[8],"users":[9,18,27,52],"on":[10,102,132],"Twitter":[11,17],"every":[12],"day,":[13],"especially":[14],"those":[16],"with":[19],"many":[20],"friends.":[21],"However,":[22],"the":[23,48,63,77,103,107,125],"useful":[24],"tweets":[25,50,88,98,133],"that":[26,116],"are":[28],"really":[29,129],"interested":[30],"in":[31,66],"personally":[32],"could":[33],"be":[34],"covered":[35],"by":[36],"massive":[37],"other":[38],"uninformative":[39],"and":[40,68,72,106,124],"uninteresting":[41],"information.":[42],"Therefore,":[43],"how":[44],"to":[45,75,87,110],"bring":[46],"immediately":[47],"interesting":[49],"is":[53],"always":[54],"a":[55,94],"challenging":[56],"issue.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,82],"consider":[62],"user":[64,85,104,126],"friendships":[65,78,105,127],"detail":[67],"build":[69],"an":[70],"effective":[71],"practical":[73],"model":[74],"calculate":[76],"among":[79],"users.":[80],"Certainly,":[81],"also":[83],"take":[84],"interests":[86,109],"into":[89],"account.":[90],"We":[91],"then":[92],"propose":[93],"personalized":[95],"approach":[96],"ranking,":[99],"which":[100],"focus":[101],"personal":[108],"tweets.":[111],"experimental":[113],"results":[114],"demonstrate":[115],"our":[117],"proposed":[118],"method":[119],"greatly":[120],"outperforms":[121],"several":[122],"baselines":[123],"have":[128],"important":[130],"effect":[131],"ranking.":[134]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4239874211","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-04-24T10:24:46.295486","created_date":"2022-05-12"}