{"id":"https://openalex.org/W4220668138","doi":"https://doi.org/10.1145/3498366.3505828","title":"Pairwise Review-Based Explanations for Voice Product Search","display_name":"Pairwise Review-Based Explanations for Voice Product Search","publication_year":2022,"publication_date":"2022-03-12","ids":{"openalex":"https://openalex.org/W4220668138","doi":"https://doi.org/10.1145/3498366.3505828"},"language":"en","primary_location":{"id":"doi:10.1145/3498366.3505828","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3498366.3505828","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3498366.3505828","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3498366.3505828","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039590940","display_name":"Gustavo Penha","orcid":"https://orcid.org/0000-0002-7373-0800"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Gustavo Penha","raw_affiliation_strings":["Delft University of Technology, Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042209340","display_name":"Eyal Krikon","orcid":"https://orcid.org/0000-0001-7423-0261"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eyal Krikon","raw_affiliation_strings":["Amazon, United States"],"affiliations":[{"raw_affiliation_string":"Amazon, United States","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060492418","display_name":"Vanessa Murdock","orcid":"https://orcid.org/0000-0003-1682-0081"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vanessa Murdock","raw_affiliation_strings":["Amazon, United States"],"affiliations":[{"raw_affiliation_string":"Amazon, United States","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039590940"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":1.5208,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86311527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"300","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.9246020317077637},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.7722988128662109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7555917501449585},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.726259708404541},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6429523825645447},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5731462836265564},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5070316791534424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3868641257286072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33109524846076965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1436023712158203}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.9246020317077637},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.7722988128662109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555917501449585},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.726259708404541},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6429523825645447},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5731462836265564},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5070316791534424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3868641257286072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33109524846076965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1436023712158203},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3498366.3505828","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3498366.3505828","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3498366.3505828","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:331985c5-6c34-4c33-be8c-1c710c7e47d5","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:331985c5-6c34-4c33-be8c-1c710c7e47d5","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"doi:10.1145/3498366.3505828","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3498366.3505828","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3498366.3505828","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220668138.pdf","grobid_xml":"https://content.openalex.org/works/W4220668138.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1690919088","https://openalex.org/W2020563325","https://openalex.org/W2763172566","https://openalex.org/W2792932412","https://openalex.org/W2891482011","https://openalex.org/W2949553967","https://openalex.org/W2954902138","https://openalex.org/W2955073982","https://openalex.org/W2955573083","https://openalex.org/W2963143430","https://openalex.org/W2979826702","https://openalex.org/W2980918481","https://openalex.org/W3000769526","https://openalex.org/W3013870856","https://openalex.org/W3034491755","https://openalex.org/W3043256398","https://openalex.org/W3094497946","https://openalex.org/W3103101828","https://openalex.org/W3117186979","https://openalex.org/W3122821379","https://openalex.org/W3169406593","https://openalex.org/W4239019441"],"related_works":["https://openalex.org/W2140020064","https://openalex.org/W143502885","https://openalex.org/W2103468410","https://openalex.org/W1856228368","https://openalex.org/W1968809652","https://openalex.org/W3197542402","https://openalex.org/W2971527398","https://openalex.org/W2086538707","https://openalex.org/W2767338541","https://openalex.org/W3216317163"],"abstract_inverted_index":{"Explanations":[0],"describe":[1],"product":[2,22,45,88,123,169,287],"recommendations":[3,202],"in":[4,9,42,60,86,170],"a":[5,13,63,93,113,126,136,144,159,163,176,190,198,222],"human":[6],"interpretable":[7],"way":[8],"order":[10,81],"to":[11,18,28,32,82,134,193,238,251],"achieve":[12],"goal,":[14],"e.g.":[15],"persuade":[16],"users":[17,25,195,250],"buy.":[19],"Unlike":[20],"web":[21],"search,":[23],"where":[24],"have":[26],"access":[27],"diverse":[29,145,206],"information":[30,51,105,211],"as":[31],"why":[33],"the":[34,43,48,76,107,117,121,131,154,171,179,184,186,194,201,209,229,239,260,280,283,291,294],"products":[35,67,73,157,207],"might":[36],"be":[37,54],"suitable":[38],"for":[39,95,158,167,208,244,273],"their":[40,151],"needs,":[41],"voice":[44,77,87],"search":[46],"domain":[47],"amount":[49],"of":[50,65,120,147,150,200,216,265,276,282],"that":[52,102,228],"can":[53],"disclosed":[55],"is":[56],"inherently":[57],"limited.":[58],"Users":[59],"general":[61],"evaluate":[62],"maximum":[64],"two":[66,205,245],"and":[68,98,129,173,196,241,255,269,293],"usually":[69],"buy":[70],"low":[71],"consideration":[72],"when":[74],"using":[75],"channel":[78],"[3].":[79],"In":[80],"enable":[83],"decision":[84],"making":[85],"searches":[89],"we":[90],"propose":[91],"here":[92],"framework":[94],"generating":[96],"pointwise":[97],"pairwise":[99,231],"review-based":[100,152],"explanations":[101,217,232],"disclose":[103],"further":[104,182],"about":[106],"products.":[108],"The":[109,139,263],"POINTWISE":[110,240,268],"method":[111,141,188],"selects":[112,143],"helpful":[114,164],"sentence":[115,133,166],"from":[116,221],"top":[118],"review":[119,165],"recommended":[122],"based":[124,203,218,278],"on":[125,204,219,279],"BERT-based":[127],"model":[128],"uses":[130],"extracted":[132],"fill":[135],"response":[137],"template.":[138],"PAIRWISE":[140,187,266],"first":[142],"pair":[146],"products\u2014in":[148],"terms":[149],"representations\u2014from":[153],"top-k":[155],"ranked":[156],"query,":[160],"then":[161],"chooses":[162],"each":[168],"pair,":[172],"finally":[174],"fills":[175],"template":[177],"with":[178,290],"sentences.":[180],"Besides":[181],"describing":[183],"product,":[185],"gives":[189],"reference":[191],"point":[192],"enables":[197],"comparison":[199],"same":[210],"need.":[212],"Our":[213],"crowd-sourced":[214],"evaluation":[215],"queries":[220],"widely":[223],"used":[224],"e-commerce":[225],"platform":[226],"shows":[227],"proposed":[230],"provide":[233],"statistically":[234],"significant":[235],"improvements":[236],"compared":[237],"BASELINE":[242,270],"methods":[243],"goals:":[246],"Effectiveness,":[247],"i.e.":[248,257],"helping":[249],"make":[252],"good":[253],"decisions,":[254],"Transparency,":[256],"explaining":[258],"how":[259],"system":[261],"works.":[262],"gains":[264],"over":[267],"are":[271],"consistent":[272],"different":[274],"subsets":[275],"data":[277],"diversity":[281],"selected":[284],"pairs,":[285],"average":[286],"price":[288],"associated":[289],"query":[292,295],"ambiguity.":[296]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
