{"id":"https://openalex.org/W2790121820","doi":"https://doi.org/10.1145/3172944.3172998","title":"Towards an Optimal Dialog Strategy for Information Retrieval Using Both Open- and Close-ended Questions","display_name":"Towards an Optimal Dialog Strategy for Information Retrieval Using Both Open- and Close-ended Questions","publication_year":2018,"publication_date":"2018-03-05","ids":{"openalex":"https://openalex.org/W2790121820","doi":"https://doi.org/10.1145/3172944.3172998","mag":"2790121820"},"language":"en","primary_location":{"id":"doi:10.1145/3172944.3172998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3172944.3172998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"23rd International Conference on Intelligent User Interfaces","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/A5100410998","display_name":"Yunfeng Zhang","orcid":"https://orcid.org/0000-0002-1237-6035"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yunfeng Zhang","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103245117","display_name":"Q. Vera Liao","orcid":"https://orcid.org/0000-0002-9370-5223"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Q. Vera Liao","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051577973","display_name":"Biplav Srivastava","orcid":"https://orcid.org/0000-0002-7292-3838"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biplav Srivastava","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100410998"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.9772,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81141762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T12031","display_name":"Speech and dialogue systems","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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T12128","display_name":"AI in Service Interactions","score":0.9961000084877014,"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/dialog-box","display_name":"Dialog box","score":0.7825231552124023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258015871047974},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6047133207321167},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4360314607620239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4185114800930023},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30443471670150757}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7825231552124023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258015871047974},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6047133207321167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4360314607620239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4185114800930023},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30443471670150757}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3172944.3172998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3172944.3172998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"23rd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1491011092","https://openalex.org/W1967044832","https://openalex.org/W2009551863","https://openalex.org/W2033842033","https://openalex.org/W2132708564","https://openalex.org/W2149706766","https://openalex.org/W2151814822","https://openalex.org/W2349436533","https://openalex.org/W2590822507","https://openalex.org/W2963448850","https://openalex.org/W3098685837","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W4298396513","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W2104718772","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"emerging":[1],"paradigm":[2],"of":[3,35,55,92,104,117,138,154],"dialogue":[4,77,142],"interfaces":[5],"for":[6,13],"information":[7,18,102],"retrieval":[8],"systems":[9],"opens":[10],"new":[11],"opportunities":[12],"interactively":[14],"narrowing":[15],"down":[16],"users'":[17],"query":[19],"and":[20,70,107,147],"improving":[21],"search":[22,47],"results.":[23],"Prior":[24],"research":[25],"has":[26],"largely":[27],"focused":[28],"on":[29,63],"methods":[30],"that":[31,80,116,153],"use":[32],"a":[33,53,97,155],"set":[34],"close-ended":[36,64,118],"questions,":[37,106],"such":[38,139],"as":[39],"decision":[40],"tree,":[41],"to":[42,59,68,88,99,120,124,134],"learn":[43],"about":[44],"the":[45,85,90,93,101,136,149],"user's":[46],"target.":[48],"However,":[49],"when":[50],"there":[51],"is":[52],"myriad":[54],"documents":[56],"or":[57],"items":[58],"search,":[60],"solely":[61],"relying":[62],"questions":[65,83,119],"can":[66],"lead":[67],"long":[69],"undesirable":[71],"dialogues.":[72],"We":[73,95,126],"propose":[74,96],"an":[75,140],"adaptive":[76,141],"strategy":[78,143],"framework":[79],"incorporates":[81],"open-ended":[82,105],"at":[84],"optimal":[86],"timing":[87],"reduce":[89],"length":[91],"dialogue.":[94],"method":[98],"estimate":[100],"gain":[103],"in":[108],"each":[109],"dialog":[110],"turn,":[111],"we":[112],"compare":[113,148],"it":[114],"with":[115,152],"decide":[121],"which":[122],"question":[123],"ask.":[125],"present":[127],"experiments":[128],"using":[129],"several":[130],"synthetic":[131],"datasets":[132],"designed":[133],"explore":[135],"behavior":[137],"under":[144],"different":[145],"environments,":[146],"system's":[150],"performance":[151],"close-ended-questions-only":[156],"strategy.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}