{"id":"https://openalex.org/W2038101504","doi":"https://doi.org/10.1109/bigdata.2013.6691761","title":"The Microsoft Academic Search challenges at KDD Cup 2013","display_name":"The Microsoft Academic Search challenges at KDD Cup 2013","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2038101504","doi":"https://doi.org/10.1109/bigdata.2013.6691761","mag":"2038101504"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on 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/A5056749857","display_name":"Martine De Cock","orcid":"https://orcid.org/0000-0001-7917-0771"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Martine De Cock","raw_affiliation_strings":["Dept. of Appl. Math., CS and Statistics, Ghent University, Gent, Belgium","Dept. of Appl. Math., CS & Stat., Ghent Univ., Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Dept. of Appl. Math., CS and Statistics, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Appl. Math., CS & Stat., Ghent Univ., Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009377962","display_name":"Senjuti Basu Roy","orcid":"https://orcid.org/0000-0003-3475-8138"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senjuti Basu Roy","raw_affiliation_strings":["Institute of Technology, University of Washington, Tacoma, WA, USA","INSTITUTE OF TECHNOLOGY; UNIVERSITY OF WASHINGTON; TACOMA WA USA"],"affiliations":[{"raw_affiliation_string":"Institute of Technology, University of Washington, Tacoma, WA, USA","institution_ids":["https://openalex.org/I4210150356"]},{"raw_affiliation_string":"INSTITUTE OF TECHNOLOGY; UNIVERSITY OF WASHINGTON; TACOMA WA USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035433403","display_name":"Swapna Savvana","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swapna Savvana","raw_affiliation_strings":["Institute of Technology, University of Washington, Tacoma, WA, USA","INSTITUTE OF TECHNOLOGY; UNIVERSITY OF WASHINGTON; TACOMA WA USA"],"affiliations":[{"raw_affiliation_string":"Institute of Technology, University of Washington, Tacoma, WA, USA","institution_ids":["https://openalex.org/I4210150356"]},{"raw_affiliation_string":"INSTITUTE OF TECHNOLOGY; UNIVERSITY OF WASHINGTON; TACOMA WA USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043260495","display_name":"Vani Mandava","orcid":"https://orcid.org/0000-0003-3592-9453"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vani Mandava","raw_affiliation_strings":["Microsoft Research Microsoft, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012872167","display_name":"B D'Alessandro","orcid":"https://orcid.org/0000-0002-0050-401X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Dalessandro","raw_affiliation_strings":["Media6 Degrees, New York, NY, USA","Media6Degrees, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Media6 Degrees, New York, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Media6Degrees, New York, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003651471","display_name":"Claudia Perlich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claudia Perlich","raw_affiliation_strings":["Media6 Degrees, New York, NY, USA","Media6Degrees, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Media6 Degrees, New York, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Media6Degrees, New York, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006167480","display_name":"William Cukierski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William Cukierski","raw_affiliation_strings":["Kaggle, Millington, USA","Kaggle, Millington, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Kaggle, Millington, USA","institution_ids":[]},{"raw_affiliation_string":"Kaggle, Millington, NJ, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049495063","display_name":"Ben Hamner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Hamner","raw_affiliation_strings":["Kaggle, Millington, USA","Kaggle, Millington, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Kaggle, Millington, USA","institution_ids":[]},{"raw_affiliation_string":"Kaggle, Millington, NJ, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5056749857"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.4944,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76313809,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7821492552757263},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.7684260010719299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726622462272644},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6387168765068054},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6122575998306274},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5794738531112671},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.47648757696151733},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4764024317264557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20201224088668823},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06333255767822266}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7821492552757263},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.7684260010719299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726622462272644},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6387168765068054},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6122575998306274},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5794738531112671},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.47648757696151733},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4764024317264557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20201224088668823},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06333255767822266},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2013.6691761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:7104883","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/7104883","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781479912933","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1975258157","https://openalex.org/W2112564748","https://openalex.org/W2152313299","https://openalex.org/W2612305609","https://openalex.org/W4213009331"],"related_works":["https://openalex.org/W2735088306","https://openalex.org/W4286740636","https://openalex.org/W2946214509","https://openalex.org/W2606108738","https://openalex.org/W2628063975","https://openalex.org/W2356479129","https://openalex.org/W2387346515","https://openalex.org/W2352196451","https://openalex.org/W3124994589","https://openalex.org/W2910384174"],"abstract_inverted_index":{"Microsoft":[0],"Academic":[1],"Search":[2],"is":[3,40],"a":[4,26,77,101],"free":[5],"search":[6],"engine":[7],"specific":[8],"to":[9,56,88,94],"scholarly":[10],"material.":[11],"It":[12],"currently":[13],"covers":[14],"more":[15],"than":[16],"50":[17],"million":[18,23],"publications":[19],"and":[20,44,80,107],"over":[21],"19":[22],"authors":[24],"across":[25],"variety":[27],"of":[28,31,104],"domains.":[29],"One":[30],"the":[32,45,95,105,108],"main":[33],"challenges":[34],"in":[35,48,60,69],"correctly":[36],"indexing":[37],"this":[38,58],"material":[39],"author":[41,49,71,85],"name":[42],"ambiguity":[43],"resulting":[46],"noise":[47],"profiles.":[50],"KDD":[51],"Cup":[52],"2013":[53],"invited":[54],"participants":[55],"tackle":[57],"problem":[59],"2":[61],"ways:":[62],"(1)":[63],"by":[64,76,82],"automatically":[65],"determining":[66],"which":[67,84],"papers":[68],"an":[70],"profile":[72],"are":[73],"truly":[74],"written":[75],"given":[78],"author,":[79],"(2)":[81],"identifying":[83],"profiles":[86],"need":[87],"be":[89],"merged":[90],"because":[91],"they":[92],"belong":[93],"same":[96],"author.":[97],"This":[98],"paper":[99],"presents":[100],"brief":[102],"account":[103],"contest":[106],"lessons":[109],"learned.":[110]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}