{"id":"https://openalex.org/W2532324109","doi":"https://doi.org/10.1109/ccis.2012.6664235","title":"A hybrid social search model based on the user's online social networks","display_name":"A hybrid social search model based on the user's online social networks","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2532324109","doi":"https://doi.org/10.1109/ccis.2012.6664235","mag":"2532324109"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2012.6664235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","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/A5027251451","display_name":"Liang Guo","orcid":"https://orcid.org/0000-0002-8953-2673"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Guo","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052129348","display_name":"Xirong Que","orcid":"https://orcid.org/0000-0002-9759-767X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xirong Que","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032066388","display_name":"Yidong Cui","orcid":"https://orcid.org/0000-0001-5249-790X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidong Cui","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329067","display_name":"Wendong Wang","orcid":"https://orcid.org/0000-0002-6418-8087"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028655984","display_name":"Shiduan Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiduan Cheng","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027251451"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7105,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84399629,"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":"553","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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":0.996999979019165,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8074418306350708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7886135578155518},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6789804100990295},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6684215068817139},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.641595184803009},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6043074727058411},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5818691253662109},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5124593377113342},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5077396631240845},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5037805438041687},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.502246618270874},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49585995078086853},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3370761275291443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2582167387008667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22086995840072632}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8074418306350708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886135578155518},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6789804100990295},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6684215068817139},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.641595184803009},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6043074727058411},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5818691253662109},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5124593377113342},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5077396631240845},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5037805438041687},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.502246618270874},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49585995078086853},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3370761275291443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2582167387008667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22086995840072632},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2012.6664235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","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":21,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W1965667542","https://openalex.org/W1970959547","https://openalex.org/W1985749074","https://openalex.org/W1995214280","https://openalex.org/W2024681628","https://openalex.org/W2025770569","https://openalex.org/W2037858832","https://openalex.org/W2039646365","https://openalex.org/W2063697083","https://openalex.org/W2109974859","https://openalex.org/W2120061223","https://openalex.org/W2134172592","https://openalex.org/W2142906335","https://openalex.org/W2147709600","https://openalex.org/W2153252192","https://openalex.org/W2163881971","https://openalex.org/W2610241442","https://openalex.org/W4251504464","https://openalex.org/W6639055396","https://openalex.org/W6681524048"],"related_works":["https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W3127142483","https://openalex.org/W2041353081","https://openalex.org/W2568183987","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530"],"abstract_inverted_index":{"Online":[0],"social":[1,66,73,86,136,163,195,221],"networks":[2],"(OSNs)":[3],"have":[4],"become":[5],"a":[6,14,64,82,92,143],"new":[7],"networking":[8,33,196],"platform":[9],"for":[10],"connecting":[11],"people":[12],"through":[13,52],"variety":[15],"of":[16,24,94,153,161,169,182,191,214],"mutual":[17],"relationships.":[18],"Owing":[19],"to":[20,49,75,90,103,111,149,177],"its":[21],"widespread":[22],"use":[23],"applications":[25,181],"such":[26],"as":[27],"email,":[28],"online":[29,31],"shopping,":[30],"business":[32],"and":[34,45,166,202],"instant":[35],"messaging,":[36],"OSNs":[37,54],"play":[38],"an":[39],"indispensable":[40],"part":[41],"in":[42,198],"people's":[43],"work":[44],"life.":[46],"People":[47],"tend":[48],"seek":[50],"information":[51],"their":[53],"rather":[55],"than":[56],"the":[57,71,77,85,100,113,126,135,151,159,162,170,179,183,192,203,208,220],"traditional":[58],"search":[59,67,87,164,222],"engine.":[60],"This":[61],"paper":[62],"presents":[63],"hybrid":[65],"model,":[68],"which":[69],"harnesses":[70],"user's":[72,83,122],"relation":[74,137],"generate":[76],"satisfying":[78],"results.":[79],"Upon":[80],"receiving":[81],"query,":[84],"model":[88,165,223],"aims":[89],"return":[91],"list":[93],"ranked":[95],"answerers":[96],"who":[97],"might":[98],"give":[99,167],"correct":[101],"answers":[102],"that":[104,207],"query.":[105],"Two":[106],"novel":[107],"algorithms":[108,211],"are":[109],"proposed":[110,184],"calculate":[112],"result":[114],"ranking:":[115],"1)":[116],"Topic":[117],"Relevance":[118],"Rank":[119,132],"(TRR)":[120],"evaluates":[121],"professional":[123],"score":[124],"on":[125],"relevant":[127],"topics;":[128],"2)":[129],"Social":[130],"Relation":[131],"(SRR)":[133],"captures":[134],"strength":[138],"between":[139],"users.":[140],"In":[141],"addition,":[142],"topic":[144,215],"classification":[145,216],"label":[146,217],"is":[147,175,200],"defined":[148],"control":[150,213],"weight":[152],"these":[154],"two":[155,209],"algorithms.":[156,172],"We":[157],"describe":[158],"architecture":[160],"details":[168],"ranking":[171,210],"A":[173],"use-case":[174],"described":[176],"illustrate":[178],"potential":[180],"model.":[185],"3G":[186],"RenRen":[187],"Network,":[188],"mobile":[189],"edition":[190],"biggest":[193],"student":[194],"site":[197],"China":[199],"studied":[201],"experiment":[204],"results":[205],"show":[206],"under":[212],"can":[218],"benefit":[219],"evidently.":[224]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
