{"id":"https://openalex.org/W2045922535","doi":"https://doi.org/10.1145/1458502.1458507","title":"A study of the relationship between ad hoc retrieval and expert finding in enterprise environment","display_name":"A study of the relationship between ad hoc retrieval and expert finding in enterprise environment","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W2045922535","doi":"https://doi.org/10.1145/1458502.1458507","mag":"2045922535"},"language":"en","primary_location":{"id":"doi:10.1145/1458502.1458507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458502.1458507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM workshop on Web information and data management","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/A5102059411","display_name":"Jianhan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jianhan Zhu","raw_affiliation_strings":["University College London, Ipswich, Suffolk, United Kngdm"],"affiliations":[{"raw_affiliation_string":"University College London, Ipswich, Suffolk, United Kngdm","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102059411"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":4.2298,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94289886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"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/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.8046348094940186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7987545728683472},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.596623420715332},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.460027813911438},{"id":"https://openalex.org/keywords/adversarial-information-retrieval","display_name":"Adversarial information retrieval","score":0.45482638478279114},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.347745418548584},{"id":"https://openalex.org/keywords/cognitive-models-of-information-retrieval","display_name":"Cognitive models of information retrieval","score":0.2535555064678192}],"concepts":[{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8046348094940186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7987545728683472},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.596623420715332},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.460027813911438},{"id":"https://openalex.org/C116425068","wikidata":"https://www.wikidata.org/wiki/Q4686695","display_name":"Adversarial information retrieval","level":5,"score":0.45482638478279114},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.347745418548584},{"id":"https://openalex.org/C21025794","wikidata":"https://www.wikidata.org/wiki/Q5141219","display_name":"Cognitive models of information retrieval","level":4,"score":0.2535555064678192}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1458502.1458507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458502.1458507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM workshop on Web information and data management","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":24,"referenced_works":["https://openalex.org/W11620817","https://openalex.org/W38978401","https://openalex.org/W95791645","https://openalex.org/W135168798","https://openalex.org/W1588022898","https://openalex.org/W1604957788","https://openalex.org/W1844976795","https://openalex.org/W1958250704","https://openalex.org/W1967573127","https://openalex.org/W1972594981","https://openalex.org/W2038819721","https://openalex.org/W2091808810","https://openalex.org/W2093390569","https://openalex.org/W2098057544","https://openalex.org/W2126226055","https://openalex.org/W2139348969","https://openalex.org/W2143561480","https://openalex.org/W2151350269","https://openalex.org/W2160885631","https://openalex.org/W2162017692","https://openalex.org/W2167865918","https://openalex.org/W2902675732","https://openalex.org/W4206765718","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2737221483","https://openalex.org/W2368472114","https://openalex.org/W1545847155","https://openalex.org/W2347503250","https://openalex.org/W42500033","https://openalex.org/W2047830640","https://openalex.org/W2377391927","https://openalex.org/W2361661854","https://openalex.org/W2127707321"],"abstract_inverted_index":{"Ad":[0],"hoc":[1,50,66,146,180,199,215],"retrieval":[2,51,67,87,109,147,181,200,216],"returns":[3,18],"a":[4,12,19,34,53,114,119],"ranked":[5,20],"list":[6,21],"of":[7,22,33,43,85,94,107],"documents":[8,58],"in":[9,24,30,72,88,110,118,151],"response":[10,25],"to":[11,26,60,103,138],"search":[13,35],"query,":[14,36],"while":[15],"expert":[16,46,89,111,149,189,194,207],"finding":[17,47,112,150,195,208],"people":[23],"an":[27,140],"expertise":[28,62],"request":[29],"the":[31,44,61,83,101,105,157],"form":[32],"e.g.,":[37],"\"information":[38],"retrieval\".":[39],"In":[40],"current":[41],"state":[42],"art":[45],"approaches,":[48],"ad":[49,65,145,179,198,214],"is":[52,97],"key":[54],"component":[55],"for":[56,143],"locating":[57],"relevant":[59],"request.":[63],"While":[64],"has":[68,78],"been":[69,79],"well":[70],"researched":[71],"information":[73],"retrieval,":[74],"no":[75],"previous":[76],"work":[77],"carried":[80],"out":[81],"on":[82,156],"effects":[84],"document":[86,108,125],"finding.":[90],"The":[91],"main":[92],"contribution":[93],"this":[95],"paper":[96],"that":[98,174],"we":[99],"are":[100],"first":[102],"study":[104],"effect":[106],"via":[113],"background":[115,175],"smoothing":[116,176],"parameter":[117],"language":[120],"modeling":[121],"approach":[122,142],"and":[123,130,148,169,204],"two":[124],"features,":[126],"namely,":[127],"anchor":[128,191],"text":[129,192],"indegree.":[131],"Our":[132,154],"research":[133],"gives":[134],"insight":[135],"into":[136],"how":[137],"design":[139],"effective":[141],"both":[144],"enterprise":[152],"environment.":[153],"experiments":[155],"TREC":[158],"(Text":[159],"REtrieval":[160],"Conference)":[161],"2007":[162],"Enterprise":[163],"Track":[164],"CSIRO":[165],"(Australian":[166],"Commonwealth":[167],"Scientific":[168],"Research":[170],"Organization)":[171],"dataset":[172],"shows":[173],"helps":[177,193,206],"improve":[178,213],"but":[182,196,209],"does":[183,210],"not":[184,211],"help":[185,212],"or":[186],"even":[187],"hurt":[188,197],"finding,":[190],"when":[201],"weighted":[202],"high,":[203],"indegree":[205],"significantly.":[217]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}