{"id":"https://openalex.org/W2947296954","doi":"https://doi.org/10.1145/3320489","title":"Translations Diversification for Expert Finding","display_name":"Translations Diversification for Expert Finding","publication_year":2019,"publication_date":"2019-05-29","ids":{"openalex":"https://openalex.org/W2947296954","doi":"https://doi.org/10.1145/3320489","mag":"2947296954"},"language":"en","primary_location":{"id":"doi:10.1145/3320489","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3320489","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5103108861","display_name":"Mahdi Dehghan","orcid":"https://orcid.org/0000-0001-8843-4652"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mahdi Dehghan","raw_affiliation_strings":["Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050011312","display_name":"Ahmad Ali Abin","orcid":"https://orcid.org/0000-0002-0916-0348"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ahmad Ali Abin","raw_affiliation_strings":["Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103108861"],"corresponding_institution_ids":["https://openalex.org/I48379061"],"apc_list":null,"apc_paid":null,"fwci":3.7306,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94013967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"3","first_page":"1","last_page":"20"},"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":1.0,"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":1.0,"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":0.993399977684021,"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/T10028","display_name":"Topic Modeling","score":0.9850999712944031,"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":0.7708907127380371},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6631380319595337},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6495321393013},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6382037401199341},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5347375869750977},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5192359089851379},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.518225908279419},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5063034296035767},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.4841338098049164},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4794013500213623},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4505152106285095},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4285741150379181},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4154115319252014},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3792351484298706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34137770533561707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3329044282436371},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1460684835910797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708907127380371},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6631380319595337},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6495321393013},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6382037401199341},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5347375869750977},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5192359089851379},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.518225908279419},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5063034296035767},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.4841338098049164},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4794013500213623},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4505152106285095},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4285741150379181},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4154115319252014},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3792351484298706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34137770533561707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3329044282436371},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1460684835910797},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3320489","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3320489","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W43277809","https://openalex.org/W1161579542","https://openalex.org/W1970461679","https://openalex.org/W1973435495","https://openalex.org/W1986668507","https://openalex.org/W1993150471","https://openalex.org/W1995692149","https://openalex.org/W2038227503","https://openalex.org/W2071676663","https://openalex.org/W2091565080","https://openalex.org/W2099386756","https://openalex.org/W2109298920","https://openalex.org/W2120401584","https://openalex.org/W2123387439","https://openalex.org/W2126793736","https://openalex.org/W2130520240","https://openalex.org/W2132613313","https://openalex.org/W2140008999","https://openalex.org/W2149427297","https://openalex.org/W2151122348","https://openalex.org/W2163931541","https://openalex.org/W2165389462","https://openalex.org/W2270188535","https://openalex.org/W2336930964","https://openalex.org/W2400248106","https://openalex.org/W2499321295","https://openalex.org/W2739535923","https://openalex.org/W2742512671","https://openalex.org/W2792584233","https://openalex.org/W3100863972","https://openalex.org/W3103654910","https://openalex.org/W4206827264","https://openalex.org/W4231510805","https://openalex.org/W4256161694"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W8514837","https://openalex.org/W2146885082","https://openalex.org/W2186703450","https://openalex.org/W3125756434","https://openalex.org/W1981131819","https://openalex.org/W2392799717","https://openalex.org/W2017989738"],"abstract_inverted_index":{"Expert":[0],"finding":[1,36],"is":[2,18,37,62,88,159,179],"the":[3,12,25,40,53,63,95,126,136,142,151,162,176,183,189,212,215],"task":[4],"of":[5,14,27,52,65,122,135,165,171,185,214],"retrieving":[6],"and":[7,45,70,85,107,169],"ranking":[8],"knowledgeable":[9],"people":[10],"in":[11,34,57,82,103,111,117,125,150,175,197],"subject":[13],"user\u2019s":[15],"query.":[16],"It":[17],"a":[19,75,104,118,132,155,200],"well-studied":[20],"problem":[21,184],"that":[22,97,158],"has":[23],"attracted":[24],"attention":[26],"many":[28],"researchers.":[29],"The":[30],"most":[31,54],"important":[32,55],"challenge":[33],"expert":[35,204,219],"to":[38,90,147,167,173,181,192],"determine":[39],"similarity":[41,170],"between":[42,68],"query":[43,84,105,143,152,174,177,194],"words":[44,80,96],"documents":[46],"authored":[47],"by":[48],"candidate":[49],"experts.":[50],"One":[51],"challenges":[56],"Information":[58],"Retrieval":[59],"(IR)":[60],"community":[61],"issue":[64],"vocabulary":[66,186],"gap":[67],"queries":[69],"documents.":[71],"In":[72],"this":[73,92,112,140],"study,":[74],"translation":[76],"model":[77,202],"based":[78,160],"on":[79,161,207],"clustering":[81],"two":[83],"co-occurrence":[86,119,127],"spaces":[87],"proposed":[89,216],"overcome":[91],"problem.":[93],"First,":[94],"are":[98,101,114,129,145,195],"semantically":[99],"close,":[100],"clustered":[102,115],"space":[106,113,128],"then":[108],"each":[109,123,193],"cluster":[110,124,168,172],"again":[116],"space.":[120,153],"Representatives":[121],"considered":[130],"as":[131],"diverse":[133],"subset":[134],"parent":[137],"cluster.":[138],"By":[139],"method,":[141],"translations":[144,191],"expected":[146],"be":[148],"diversified":[149],"Next,":[154],"probabilistic":[156],"model,":[157],"belonging":[163],"degree":[164],"word":[166],"space,":[178],"used":[180,196],"consider":[182],"gap.":[187],"Finally,":[188],"corresponding":[190],"conjunction":[198],"with":[199],"combination":[201],"for":[203,218],"finding.":[205,220],"Experiments":[206],"Stack":[208],"Overflow":[209],"dataset":[210],"show":[211],"effectiveness":[213],"method":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
