{"id":"https://openalex.org/W2336203772","doi":"https://doi.org/10.1145/2911451.2911525","title":"Searching by Talking","display_name":"Searching by Talking","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2336203772","doi":"https://doi.org/10.1145/2911451.2911525","mag":"2336203772"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2911525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","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/A5035284207","display_name":"Ido Guy","orcid":"https://orcid.org/0000-0002-5525-1064"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Ido Guy","raw_affiliation_strings":["Ben Gurion University of the Negev, Beer Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben Gurion University of the Negev, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035284207"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":23.9441,"has_fulltext":false,"cited_by_count":143,"citation_normalized_percentile":{"value":0.9945795,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.998199999332428,"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":0.9977999925613403,"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":0.8377252817153931},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6594268083572388},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6193950772285461},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5906272530555725},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.5382058620452881},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.48138144612312317},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46956348419189453},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.45335566997528076},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.44143033027648926},{"id":"https://openalex.org/keywords/natural-language-user-interface","display_name":"Natural language user interface","score":0.4200679361820221},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34298190474510193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8377252817153931},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6594268083572388},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6193950772285461},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5906272530555725},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.5382058620452881},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.48138144612312317},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46956348419189453},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.45335566997528076},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.44143033027648926},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.4200679361820221},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34298190474510193},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2911451.2911525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W35977024","https://openalex.org/W112254115","https://openalex.org/W127782651","https://openalex.org/W1508977358","https://openalex.org/W1606776353","https://openalex.org/W1632114991","https://openalex.org/W1734538896","https://openalex.org/W1929483471","https://openalex.org/W1948287798","https://openalex.org/W1968101325","https://openalex.org/W1973120253","https://openalex.org/W1973602439","https://openalex.org/W1982584634","https://openalex.org/W1988974490","https://openalex.org/W1995672491","https://openalex.org/W1996430422","https://openalex.org/W2027787089","https://openalex.org/W2051626970","https://openalex.org/W2055158566","https://openalex.org/W2062270497","https://openalex.org/W2066630164","https://openalex.org/W2081340864","https://openalex.org/W2081617506","https://openalex.org/W2097606805","https://openalex.org/W2099832642","https://openalex.org/W2100506586","https://openalex.org/W2106569340","https://openalex.org/W2107946802","https://openalex.org/W2109726413","https://openalex.org/W2110037758","https://openalex.org/W2119074598","https://openalex.org/W2129251351","https://openalex.org/W2132948308","https://openalex.org/W2136542423","https://openalex.org/W2151742940","https://openalex.org/W2152679188","https://openalex.org/W2153338211","https://openalex.org/W2154792348","https://openalex.org/W2160815625","https://openalex.org/W2189217339","https://openalex.org/W2234701313","https://openalex.org/W2343954916","https://openalex.org/W2463010719","https://openalex.org/W2464884813","https://openalex.org/W2547555969","https://openalex.org/W4240913316","https://openalex.org/W4245107743","https://openalex.org/W6601471962","https://openalex.org/W6674940356","https://openalex.org/W6729600347"],"related_works":["https://openalex.org/W2112751186","https://openalex.org/W2359166167","https://openalex.org/W3590553","https://openalex.org/W3110844189","https://openalex.org/W1976839151","https://openalex.org/W2336826532","https://openalex.org/W3040185272","https://openalex.org/W2373953901","https://openalex.org/W1968262010","https://openalex.org/W2214614887"],"abstract_inverted_index":{"The":[0],"growing":[1],"popularity":[2],"of":[3,32,53,79,83,117,144],"mobile":[4,58],"search":[5,19,34,56,147],"and":[6,60,76,96,99,104,135],"the":[7,15,51,62,66,74,80,115,142],"advancement":[8],"in":[9,37],"voice":[10,33,89,118,134],"recognition":[11],"technologies":[12],"have":[13,139],"opened":[14],"door":[16],"for":[17,141],"web":[18],"users":[20],"to":[21,65,122],"speak":[22],"their":[23],"queries,":[24],"rather":[25],"than":[26,125],"type":[27],"them.":[28],"While":[29],"this":[30,47],"kind":[31],"is":[35,41,120],"still":[36],"its":[38],"infancy,":[39],"it":[40],"gradually":[42],"becoming":[43],"more":[44,92],"widespread.":[45],"In":[46],"paper,":[48],"we":[49],"examine":[50],"logs":[52],"a":[54],"commercial":[55],"engine's":[57],"interface,":[59],"compare":[61],"spoken":[63],"queries":[64,90,119],"typed-in":[67],"queries.":[68,84,127],"We":[69,107],"place":[70],"special":[71],"emphasis":[72],"on":[73,93,101],"semantic":[75],"syntactic":[77],"characteristics":[78],"two":[81],"types":[82],"%Our":[85],"analysis":[86,129],"suggests":[87],"that":[88,114],"focus":[91],"audio-visual":[94],"content":[95],"question":[97],"answering,":[98],"less":[100],"social":[102],"networking":[103],"adult":[105],"domains.":[106],"also":[108],"conduct":[109],"an":[110],"empirical":[111],"evaluation":[112],"showing":[113],"language":[116,124],"closer":[121],"natural":[123],"typed":[126],"Our":[128],"reveals":[130],"further":[131],"differences":[132],"between":[133],"text":[136],"search,":[137],"which":[138],"implications":[140],"design":[143],"future":[145],"voice-enabled":[146],"tools.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}