{"id":"https://openalex.org/W2583451245","doi":"https://doi.org/10.1109/bigdata.2016.7840746","title":"Information retrieval, fusion, completion, and clustering for employee expertise estimation","display_name":"Information retrieval, fusion, completion, and clustering for employee expertise estimation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583451245","doi":"https://doi.org/10.1109/bigdata.2016.7840746","mag":"2583451245"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5059675637","display_name":"Raya Horesh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raya Horesh","raw_affiliation_strings":["Solutions and Mathematical Sciences IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"Solutions and Mathematical Sciences IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015286159","display_name":"Kush R. Varshney","orcid":"https://orcid.org/0000-0002-7376-5536"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kush R. Varshney","raw_affiliation_strings":["Solutions and Mathematical Sciences IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"Solutions and Mathematical Sciences IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030837133","display_name":"Jinfeng Yi","orcid":"https://orcid.org/0000-0003-2149-0670"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinfeng Yi","raw_affiliation_strings":["Solutions and Mathematical Sciences IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"Solutions and Mathematical Sciences IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059675637"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":3.4643,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93986675,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"1385","last_page":"1393"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7292823791503906},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.652924656867981},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5974207520484924},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5360724329948425},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4816407263278961},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.45103299617767334},{"id":"https://openalex.org/keywords/enterprise-data-management","display_name":"Enterprise data management","score":0.41845762729644775},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40716421604156494},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40174925327301025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3764238953590393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2328287959098816},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1917232871055603},{"id":"https://openalex.org/keywords/enterprise-information-system","display_name":"Enterprise information system","score":0.13912463188171387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7292823791503906},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.652924656867981},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5974207520484924},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5360724329948425},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4816407263278961},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.45103299617767334},{"id":"https://openalex.org/C136227091","wikidata":"https://www.wikidata.org/wiki/Q5380376","display_name":"Enterprise data management","level":3,"score":0.41845762729644775},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40716421604156494},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40174925327301025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3764238953590393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2328287959098816},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1917232871055603},{"id":"https://openalex.org/C27295321","wikidata":"https://www.wikidata.org/wiki/Q831795","display_name":"Enterprise information system","level":2,"score":0.13912463188171387},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2016.7840746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:2785357715","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702240886043324","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W145340640","https://openalex.org/W1481794564","https://openalex.org/W1488582764","https://openalex.org/W1498257742","https://openalex.org/W1593062503","https://openalex.org/W1603259968","https://openalex.org/W1781712444","https://openalex.org/W1804954349","https://openalex.org/W1966498544","https://openalex.org/W1976632974","https://openalex.org/W1992165979","https://openalex.org/W1999162255","https://openalex.org/W1999913571","https://openalex.org/W2010100052","https://openalex.org/W2011430131","https://openalex.org/W2015320814","https://openalex.org/W2030353300","https://openalex.org/W2037984690","https://openalex.org/W2045704273","https://openalex.org/W2048587746","https://openalex.org/W2054141820","https://openalex.org/W2102112650","https://openalex.org/W2103972604","https://openalex.org/W2121324365","https://openalex.org/W2132255457","https://openalex.org/W2134332047","https://openalex.org/W2141958434","https://openalex.org/W2155291008","https://openalex.org/W2157888812","https://openalex.org/W2160569988","https://openalex.org/W2212399148","https://openalex.org/W2227430319","https://openalex.org/W2284182718","https://openalex.org/W2339785805","https://openalex.org/W2513577401","https://openalex.org/W2528974597","https://openalex.org/W2556153640","https://openalex.org/W2611328865","https://openalex.org/W6605836063","https://openalex.org/W6629106077","https://openalex.org/W6629795660","https://openalex.org/W6636036175","https://openalex.org/W6638367023","https://openalex.org/W6662737332","https://openalex.org/W6675382114","https://openalex.org/W6677686775","https://openalex.org/W6682916000","https://openalex.org/W6683303121","https://openalex.org/W6683433006","https://openalex.org/W6688497299","https://openalex.org/W6689303426","https://openalex.org/W6728141635"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W4253186488","https://openalex.org/W2044344400","https://openalex.org/W1996938127","https://openalex.org/W2083611981","https://openalex.org/W2072507639","https://openalex.org/W2043380045","https://openalex.org/W4231814374","https://openalex.org/W2155964760","https://openalex.org/W2099557065"],"abstract_inverted_index":{"Estimating":[0],"the":[1,30,95,101],"skills,":[2],"talents,":[3],"and":[4,19,38,52,58,71,79,85],"expertise":[5,31,70],"of":[6,32,49,69],"employees":[7,33],"is":[8],"essential":[9],"for":[10,76],"human":[11],"capital":[12],"management":[13],"in":[14,87],"knowledge-based":[15],"organizations":[16],"across":[17],"industries":[18],"sectors.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,62,83],"describe":[25],"an":[26],"approach":[27],"to":[28,65],"infer":[29],"from":[34,100],"their":[35],"enterprise":[36],"data":[37,45,54,80,99],"digital":[39],"footprints.":[40],"Using":[41],"a":[42,88],"novel":[43],"big":[44],"workflow":[46],"with":[47],"components":[48],"information":[50],"retrieval":[51],"search,":[53],"fusion,":[55],"matrix":[56],"completion,":[57],"ordinal":[59],"regression":[60],"clustering,":[61],"are":[63],"able":[64],"automatically":[66],"find":[67],"evidence":[68,74],"determine":[72],"appropriate":[73],"weights":[75],"different":[77],"queries":[78],"sources":[81],"that":[82],"merge":[84],"present":[86],"manner":[89],"consumable":[90],"by":[91],"businesspeople.":[92],"We":[93],"illustrate":[94],"system":[96],"on":[97],"sample":[98],"IBM":[102],"Corporation":[103],"where":[104],"it":[105],"has":[106],"been":[107],"deployed.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}