{"id":"https://openalex.org/W2605824473","doi":"https://doi.org/10.1109/bhi.2017.7897209","title":"Community question retrieval in health forums","display_name":"Community question retrieval in health forums","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2605824473","doi":"https://doi.org/10.1109/bhi.2017.7897209","mag":"2605824473"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2017.7897209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012252100","display_name":"Hamman Samuel","orcid":"https://orcid.org/0000-0002-3053-6047"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamman Samuel","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743275","display_name":"Mi-Young Kim","orcid":"https://orcid.org/0000-0002-2598-6932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mi-Young Kim","raw_affiliation_strings":["Alberta Machine Intelligence Institute, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alberta Machine Intelligence Institute, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020980049","display_name":"Sankalp Prabhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sankalp Prabhakar","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062925911","display_name":"Mohomed Shazan Mohomed Jabbar","orcid":"https://orcid.org/0000-0002-5489-974X"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohomed Shazan Mohomed Jabbar","raw_affiliation_strings":["University of Alberta, Edmonton, AB, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, CA","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006632278","display_name":"Osmar R. Zalane","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Osmar Zalane","raw_affiliation_strings":["University of Alberta, Edmonton, AB, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, CA","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2768,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51429786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"109","issue":null,"first_page":"77","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9988999962806702,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.8261065483093262},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7605181336402893},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6308062076568604},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5971147418022156},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5579358339309692},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5151745080947876},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.5059873461723328},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.48414215445518494},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.450673371553421},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.44352462887763977},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.4425414502620697},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.43266937136650085},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.22722205519676208},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.19195055961608887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8261065483093262},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7605181336402893},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6308062076568604},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5971147418022156},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5579358339309692},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5151745080947876},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.5059873461723328},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.48414215445518494},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.450673371553421},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44352462887763977},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.4425414502620697},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.43266937136650085},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.22722205519676208},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.19195055961608887},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2017.7897209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314212","display_name":"Alberta Machine Intelligence Institute","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W658020064","https://openalex.org/W1482214997","https://openalex.org/W1507223999","https://openalex.org/W1880262756","https://openalex.org/W2034103693","https://openalex.org/W2102394389","https://openalex.org/W2138692180","https://openalex.org/W2147308966","https://openalex.org/W2152311353","https://openalex.org/W2156938860","https://openalex.org/W2162355876","https://openalex.org/W2165612380","https://openalex.org/W2293014116","https://openalex.org/W4206765718","https://openalex.org/W4231510805","https://openalex.org/W6621906925","https://openalex.org/W6628905179","https://openalex.org/W6630342541","https://openalex.org/W6639619044","https://openalex.org/W6675500059","https://openalex.org/W6680225530","https://openalex.org/W6683264467"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3204681432","https://openalex.org/W2208234687"],"abstract_inverted_index":{"Community":[0],"Question":[1,62],"Answering":[2],"(CQA)":[3],"has":[4],"emerged":[5],"as":[6,37],"a":[7,27,65,90,119,190],"popular":[8],"type":[9],"of":[10,29,50,84,189,204],"service":[11],"enabling":[12],"users":[13],"to":[14,47,69,78,88,108],"ask":[15],"and":[16,19,33,56,71,100,117,127,139,164,181,199],"answer":[17],"questions,":[18],"access":[20],"the":[21,42,109,145,174],"existing":[22,73,102],"knowledgebase.":[23],"CQA":[24,53,66,120],"archives":[25],"contain":[26],"lot":[28],"useful":[30],"user-generated":[31],"content":[32],"have":[34],"been":[35],"recognized":[36],"important":[38],"information":[39,158],"resources":[40],"for":[41,193],"web.":[43],"To":[44],"improve":[45],"accessibility":[46],"this":[48,85],"body":[49],"knowledge":[51],"in":[52,64],"archives,":[54],"effective":[55],"efficient":[57],"question":[58,91,194],"retrieval":[59,63,92],"is":[60,87],"required.":[61],"archive":[67],"aims":[68],"identify":[70,101],"retrieve":[72],"questions":[74,103],"that":[75,94,141],"are":[76,105],"relevant":[77],"new":[79],"user":[80],"questions.":[81],"The":[82],"objective":[83],"study":[86],"develop":[89],"system":[93,121],"can":[95],"sift":[96],"through":[97],"such":[98],"forums":[99],"which":[104],"most":[106],"similar":[107],"user-provided":[110],"question.":[111],"We":[112,130],"focus":[113],"on":[114],"health":[115],"forums,":[116],"propose":[118],"using":[122,197],"weighted":[123],"TF-IDF,":[124],"relevance":[125],"heuristics,":[126],"term":[128],"expansion.":[129],"compare":[131],"our":[132,142,185],"proposed":[133],"algorithm":[134],"against":[135],"other":[136],"well-known":[137],"methods,":[138],"demonstrate":[140],"method":[143],"outperforms":[144],"Latent":[146,152],"Dirichlet":[147],"allocation":[148],"(LDA)":[149],"topic":[150],"model,":[151],"Semantic":[153],"Indexing":[154],"(LSI),":[155],"language":[156],"modelbased":[157],"retrieval,":[159],"BM25,":[160],"vector":[161],"space,":[162],"Word2Vec,":[163],"semantic":[165],"similarity":[166,195],"approaches.":[167],"Our":[168],"initial":[169],"experiments":[170],"use":[171],"datasets":[172],"from":[173],"IEEE":[175],"Healthcare":[176],"Data":[177],"Analytics":[178],"Challenge":[179],"2015,":[180],"we":[182],"also":[183],"present":[184],"efforts":[186],"towards":[187],"development":[188],"Bronze":[191],"Standard":[192],"evaluation":[196],"self-annotations":[198],"annotations":[200],"provided":[201],"by":[202],"affiliates":[203],"Mayo":[205],"Clinic.":[206]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}