{"id":"https://openalex.org/W2946752407","doi":"https://doi.org/10.18653/v1/n19-4017","title":"","display_name":"","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946752407","doi":"https://doi.org/10.18653/v1/n19-4017","mag":"2946752407"},"language":null,"primary_location":{"id":"doi:10.18653/v1/n19-4017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n19-4017","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference of the North","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/n19-4017","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103133553","display_name":"Tim Fischer","orcid":"https://orcid.org/0000-0003-2560-5623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Fischer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033413102","display_name":"Steffen Remus","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steffen Remus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021287757","display_name":"Chris Biemann","orcid":"https://orcid.org/0000-0002-8449-9624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chris Biemann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"104"},"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":0.9984999895095825,"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":0.9824000000953674,"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":0.8520995378494263},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.827237606048584},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7291890382766724},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6617294549942017},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5258251428604126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.386699914932251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3214215338230133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8520995378494263},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.827237606048584},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7291890382766724},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6617294549942017},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5258251428604126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.386699914932251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3214215338230133},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/n19-4017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n19-4017","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference of the North","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n19-4017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n19-4017","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference of the North","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W11620817","https://openalex.org/W38978401","https://openalex.org/W93734767","https://openalex.org/W1498257742","https://openalex.org/W1789474086","https://openalex.org/W1854214752","https://openalex.org/W1970461679","https://openalex.org/W1996203480","https://openalex.org/W2022322548","https://openalex.org/W2025895610","https://openalex.org/W2043252224","https://openalex.org/W2060186854","https://openalex.org/W2104382147","https://openalex.org/W2104973501","https://openalex.org/W2126226055","https://openalex.org/W2132613313","https://openalex.org/W2140008999","https://openalex.org/W2143561480","https://openalex.org/W2178628967","https://openalex.org/W2585027938","https://openalex.org/W2891867693","https://openalex.org/W2913036029","https://openalex.org/W2964018178","https://openalex.org/W2964283354","https://openalex.org/W3080228434","https://openalex.org/W3148527572"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912","https://openalex.org/W2037724912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"Expert":[0,159],"finding":[1,169],"is":[2,21,132,163],"the":[3,31,72,76,109,143,157,196],"task":[4,24,39],"of":[5,51,62,68,79,108,185],"ranking":[6,83],"persons":[7],"for":[8,17,37,112,137],"a":[9,18,43,103,123,128,152,176],"predefined":[10,49,119],"topic":[11],"or":[12,75,105],"search":[13,124],"query.":[14],"Finding":[15],"experts":[16,84],"specified":[19],"area":[20],"an":[22,191],"important":[23],"and":[25,90,188,190],"has":[26],"attracted":[27],"much":[28],"attention":[29],"in":[30,42,142,151,183],"information":[32],"retrieval":[33],"community.":[34],"Most":[35],"approaches":[36],"this":[38,150],"are":[40,65,93,117],"evaluated":[41],"supervised":[44],"fashion,":[45],"which":[46,162],"depend":[47],"on":[48],"topics":[50,116],"interest":[52],"as":[53,55,122],"well":[54],"gold":[56],"standard":[57],"expert":[58,168,178],"rankings.":[59,201],"Famous":[60],"representatives":[61],"such":[63],"datasets":[64,98],"enriched":[66],"versions":[67],"DBLP":[69],"provided":[70],"by":[71],"ArnetMiner":[73],"projet":[74],"W3C":[77],"Corpus":[78],"TREC.":[80],"However,":[81],"manually":[82],"can":[85,172],"be":[86,173],"considered":[87],"highly":[88],"subjective":[89],"detailed":[91,177,181],"rankings":[92],"hardly":[94],"distinguishable.":[95],"Evaluating":[96],"these":[97],"does":[99],"not":[100,118],"necessarily":[101],"guarantee":[102],"good":[104],"bad":[106],"performance":[107],"system.":[110],"Particularly":[111],"dynamic":[113],"systems,":[114],"where":[115],"but":[120],"formulated":[121],"query,":[125],"we":[126,155],"believe":[127],"more":[129],"informative":[130],"approach":[131],"to":[133,148],"perform":[134],"user":[135],"studies":[136],"directly":[138],"comparing":[139],"different":[140,200],"methods":[141,170],"same":[144],"view.":[145],"In":[146],"order":[147],"accomplish":[149],"user-friendly":[153],"way,":[154],"present":[156],"LT":[158],"Finder":[160],"web-application,":[161],"equipped":[164],"with":[165],"various":[166],"query-based":[167],"that":[171,194],"easily":[174],"extended,":[175],"profile":[179],"view,":[180],"evidence":[182],"form":[184],"relevant":[186],"documents":[187],"statistics,":[189],"evaluation":[192],"component":[193],"allows":[195],"qualitative":[197],"comparison":[198],"between":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-05-29T00:00:00"}