乐胖代购免代理版

{"id":"https://openalex.org/W4321479962","doi":"https://doi.org/10.1145/3539597.3570489","title":"Generating Explainable Product Comparisons for Online Shopping","display_name":"Generating Explainable Product Comparisons for Online Shopping","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321479962","doi":"https://doi.org/10.1145/3539597.3570489"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3570489","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3570489","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3570489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080114650","display_name":"Nikhita Vedula","orcid":"https://orcid.org/0000-0003-4857-5308"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"funder","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhita Vedula","raw_affiliation_strings":["Amazon, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037775575","display_name":"Marcus D. Collins","orcid":"https://orcid.org/0000-0002-2342-8056"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"funder","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcus Collins","raw_affiliation_strings":["Amazon, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028578280","display_name":"Eugene Agichtein","orcid":"https://orcid.org/0000-0002-3148-5448"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"funder","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Agichtein","raw_affiliation_strings":["Amazon, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Atlanta, GA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024656386","display_name":"Oleg Rokhlenko","orcid":"https://orcid.org/0000-0002-7158-9161"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"funder","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oleg Rokhlenko","raw_affiliation_strings":["Amazon, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.502,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.999979,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"949","last_page":"957"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994,"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":0.9994,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9985,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9977,"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/generative-model","display_name":"Generative model","score":0.43115002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8272172},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.66256046},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6465775},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6206629},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6113466},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5189952},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43115002},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42961514},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4255542},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4234054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41501206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41299504},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.33290356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.096889794},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3570489","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3570489","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3570489","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3570489","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1988931981","https://openalex.org/W2110687866","https://openalex.org/W2125178435","https://openalex.org/W2177382657","https://openalex.org/W2890179025","https://openalex.org/W2912172494","https://openalex.org/W2932429223","https://openalex.org/W2949911645","https://openalex.org/W2963206679","https://openalex.org/W2970641574","https://openalex.org/W3010766896","https://openalex.org/W3034881347","https://openalex.org/W3035064231","https://openalex.org/W3035368872","https://openalex.org/W3093133157","https://openalex.org/W3100995786","https://openalex.org/W3106234277","https://openalex.org/W3117186979","https://openalex.org/W3153193605","https://openalex.org/W3169611685","https://openalex.org/W3173343821","https://openalex.org/W3175441946","https://openalex.org/W3176658808","https://openalex.org/W3196268181","https://openalex.org/W3198957252","https://openalex.org/W4385573924"],"related_works":["https://openalex.org/W4395044357","https://openalex.org/W4387506531","https://openalex.org/W4386984417","https://openalex.org/W4380551139","https://openalex.org/W4365211920","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W3014948380","https://openalex.org/W3005996785","https://openalex.org/W2087346071"],"abstract_inverted_index":{"An":[0],"essential":[1],"part":[2],"of":[3,84,151,178,205,223],"making":[4],"shopping":[5],"purchase":[6],"decisions":[7],"is":[8,68,118,171],"to":[9,42,46,80,91,105,120,173,189],"compare":[10,94,106],"and":[11,57,65,93,101,140,155,168,191,243],"contrast":[12],"products":[13,95,108,211],"based":[14,96],"on":[15,97,109,212,229],"key":[16,99],"differentiating":[17],"features,":[18],"but":[19],"doing":[20],"this":[21,230],"manually":[22],"can":[23],"be":[24,40],"overwhelming.":[25],"Prior":[26],"methods":[27],"offer":[28],"limited":[29],"product":[30,49,64,123,137,152,225],"comparison":[31,116,138,166,181],"capabilities,":[32],"e.g.,":[33],"via":[34],"pre-defined":[35],"common":[36],"attributes":[37,216],"that":[38,115,232],"may":[39],"difficult":[41],"understand,":[43],"or":[44,50,214],"irrelevant":[45],"a":[47,69,110,127,141,161,185,201],"particular":[48],"user.":[51],"Automatically":[52],"generating":[53],"an":[54],"informative,":[55],"natural-sounding,":[56],"factually":[58],"consistent":[59],"comparative":[60,197],"text":[61,117,147],"for":[62,86,224],"multiple":[63],"attribute":[66,153],"types":[67],"challenging":[70],"research":[71],"problem.":[72],"We":[73,199,227],"describe":[74,92],"HCPC":[75,233],"(Human":[76],"Centered":[77],"Product":[78],"Comparison),":[79],"tackle":[81],"two":[82],"kinds":[83],"comparisons":[85],"online":[87],"shopping:":[88],"(i)":[89],"product-specific,":[90],"their":[98],"attributes;":[100],"(ii)":[102],"attribute-specific":[103],"comparisons,":[104],"similar":[107],"specific":[111],"attribute.":[112],"To":[113],"ensure":[114],"faithful":[119],"the":[121,149,165,175,179,195],"input":[122],"data,":[124],"we":[125,221],"introduce":[126],"novel":[128],"multi-decoder,":[129],"multi-task":[130],"generative":[131],"language":[132],"model.":[133],"One":[134],"decoder":[135],"generates":[136,144],"text,":[139,182],"second":[142,158],"one":[143,213],"supportive,":[145],"explanatory":[146],"in":[148,194],"form":[150],"names":[154],"values.":[156],"The":[157],"task":[159],"imitates":[160],"copy":[162],"mechanism,":[163],"improving":[164],"generator,":[167],"its":[169],"output":[170],"used":[172],"justify":[174],"factual":[176,186],"accuracy":[177],"generated":[180,196,208],"by":[183,238],"training":[184],"consistency":[187],"model":[188],"detect":[190],"correct":[192],"errors":[193],"text.":[198],"release":[200],"new":[202],"dataset":[203],"(https://registry.opendata.aws/)":[204],"~15K":[206],"human":[207,246],"sentences,":[209],"comparing":[210],"more":[215],"(the":[217],"first":[218],"such":[219],"data":[220,231],"know":[222],"comparison).":[226],"demonstrate":[228],"significantly":[234],"outperforms":[235],"strong":[236],"baselines,":[237],"~10%":[239],"using":[240,245],"automatic":[241],"metrics,":[242],"~5%":[244],"evaluation.":[247]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4321479962","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-02-22T10:13:18.787667","created_date":"2023-02-23"}