{"id":"https://openalex.org/W2590822507","doi":"https://doi.org/10.1145/3020165.3020183","title":"A Theoretical Framework for Conversational Search","display_name":"A Theoretical Framework for Conversational Search","publication_year":2017,"publication_date":"2017-03-07","ids":{"openalex":"https://openalex.org/W2590822507","doi":"https://doi.org/10.1145/3020165.3020183","mag":"2590822507"},"language":"en","primary_location":{"id":"doi:10.1145/3020165.3020183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3020165.3020183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval","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/A5081692910","display_name":"Filip Radlinski","orcid":"https://orcid.org/0000-0002-1386-9288"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Filip Radlinski","raw_affiliation_strings":["Microsoft, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055132321","display_name":"Nick Craswell","orcid":"https://orcid.org/0000-0002-9351-8137"},"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"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Craswell","raw_affiliation_strings":["Microsoft, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":439,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998000264167786,"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/T12031","display_name":"Speech and dialogue systems","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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":0.995199978351593,"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":0.8413311839103699},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.7106098532676697},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6716911792755127},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6263583302497864},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.615045428276062},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5469971299171448},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4798573851585388},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4626845121383667},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.43782421946525574},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.4288710057735443},{"id":"https://openalex.org/keywords/information-needs","display_name":"Information needs","score":0.41044265031814575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4081205725669861},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35438990592956543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15872076153755188},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11251473426818848},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.07452484965324402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413311839103699},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7106098532676697},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6716911792755127},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6263583302497864},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.615045428276062},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5469971299171448},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4798573851585388},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4626845121383667},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.43782421946525574},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.4288710057735443},{"id":"https://openalex.org/C78999398","wikidata":"https://www.wikidata.org/wiki/Q2899888","display_name":"Information needs","level":2,"score":0.41044265031814575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4081205725669861},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35438990592956543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15872076153755188},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11251473426818848},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.07452484965324402},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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:10.1145/3020165.3020183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3020165.3020183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W44010021","https://openalex.org/W110489611","https://openalex.org/W571422818","https://openalex.org/W1264279247","https://openalex.org/W1483624827","https://openalex.org/W1518951372","https://openalex.org/W1528364680","https://openalex.org/W1557757161","https://openalex.org/W1561057419","https://openalex.org/W1767747848","https://openalex.org/W1776191765","https://openalex.org/W1789887444","https://openalex.org/W1847211030","https://openalex.org/W1900263095","https://openalex.org/W1964729842","https://openalex.org/W1971809422","https://openalex.org/W1975244201","https://openalex.org/W1997486487","https://openalex.org/W2021291367","https://openalex.org/W2038550763","https://openalex.org/W2044675247","https://openalex.org/W2063774778","https://openalex.org/W2067348796","https://openalex.org/W2078021145","https://openalex.org/W2081058719","https://openalex.org/W2092973486","https://openalex.org/W2097580181","https://openalex.org/W2108279663","https://openalex.org/W2108806737","https://openalex.org/W2118322263","https://openalex.org/W2118898598","https://openalex.org/W2126146218","https://openalex.org/W2135500808","https://openalex.org/W2161466446","https://openalex.org/W2164547069","https://openalex.org/W2170809941","https://openalex.org/W2189217339","https://openalex.org/W2249418430","https://openalex.org/W2251235149","https://openalex.org/W2269480544","https://openalex.org/W2323019124","https://openalex.org/W2331728731","https://openalex.org/W2336873465","https://openalex.org/W2349436533","https://openalex.org/W2407905223","https://openalex.org/W2604653582","https://openalex.org/W2615497679","https://openalex.org/W2913395863","https://openalex.org/W2951008357","https://openalex.org/W2963064439","https://openalex.org/W4232711488","https://openalex.org/W4236521339","https://openalex.org/W6604439605","https://openalex.org/W6628931948","https://openalex.org/W6638318767","https://openalex.org/W6638352555","https://openalex.org/W6639753884","https://openalex.org/W6684151790","https://openalex.org/W6691246603","https://openalex.org/W6700991194","https://openalex.org/W6758925699"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2150425776","https://openalex.org/W2386166348","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2163228021","https://openalex.org/W4255628145","https://openalex.org/W2382043075","https://openalex.org/W2500779211","https://openalex.org/W2809151339"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"conversational":[3,34,94,114],"approaches":[4],"to":[5,45,79,133],"information":[6,14,35,50],"retrieval,":[7],"presenting":[8],"a":[9,17,33,47,53,67,81,89,93],"theory":[10],"and":[11,55,65],"model":[12,91,122,128],"of":[13,26,49,70,92,112,120],"interaction":[15],"in":[16,52],"chat":[18],"setting.":[19],"In":[20,139],"particular,":[21],"we":[22,87,142],"consider":[23],"the":[24,40,77,98,109,127,135,145],"question":[25],"what":[27],"properties":[28,71,137,146],"would":[29],"be":[30,106,130],"desirable":[31,136],"for":[32],"retrieval":[36],"system":[37,41,82,95,104],"so":[38],"that":[39,72,96,124,144],"can":[42],"allow":[43],"users":[44],"answer":[46],"variety":[48],"needs":[51],"natural":[54],"efficient":[56],"manner.":[57],"We":[58,100],"study":[59],"past":[60],"work":[61],"on":[62],"human":[63],"conversations,":[64],"propose":[66],"small":[68],"set":[69],"taken":[73],"together":[74],"could":[75,105,129],"measure":[76],"extent":[78],"which":[80],"is":[83],"conversational.":[84],"Following":[85],"this,":[86],"present":[88],"theoretical":[90],"implements":[97],"properties.":[99],"describe":[101],"how":[102],"this":[103,121],"implemented,":[107],"making":[108],"action":[110],"space":[111],"an":[113],"search":[115],"agent":[116],"explicit.":[117],"Our":[118],"analysis":[119],"shows":[123],"while":[125],"theoretical,":[126],"practically":[131],"implemented":[132],"satisfy":[134],"presented.":[138],"doing":[140],"so,":[141],"show":[143],"are":[147],"also":[148],"feasible.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":36},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":64},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":73},{"year":2020,"cited_by_count":68},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}