{"id":"https://openalex.org/W3154023003","doi":"https://doi.org/10.1145/3442381.3449963","title":"Controllable Gradient Item Retrieval","display_name":"Controllable Gradient Item Retrieval","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3154023003","doi":"https://doi.org/10.1145/3442381.3449963","mag":"3154023003"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449963","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449963","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100342615","display_name":"Haonan Wang","orcid":"https://orcid.org/0009-0006-6963-8987"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haonan Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025315","display_name":"Chang Zhou","orcid":"https://orcid.org/0000-0001-9241-702X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Zhou","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Emory University, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082599714","display_name":"Hongxia Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Yang","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073158087","display_name":"Jingrui He","orcid":"https://orcid.org/0000-0002-6429-6272"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingrui He","raw_affiliation_strings":["University of Illinois Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100342615"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59089869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"768","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546219825744629},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6910644769668579},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.67303866147995},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6197466254234314},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6183887124061584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49162226915359497},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4754642844200134},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.43514493107795715},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4288847744464874},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4201836585998535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546219825744629},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6910644769668579},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.67303866147995},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6197466254234314},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6183887124061584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49162226915359497},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4754642844200134},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.43514493107795715},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4288847744464874},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4201836585998535},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3449963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449963","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449963","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1979246310","https://openalex.org/W2113842233","https://openalex.org/W2115186633","https://openalex.org/W2163922914","https://openalex.org/W2250539671","https://openalex.org/W2560674852","https://openalex.org/W2735001949","https://openalex.org/W2747329762","https://openalex.org/W2753738274","https://openalex.org/W2905544595","https://openalex.org/W2930753700","https://openalex.org/W2951653009","https://openalex.org/W2955042981","https://openalex.org/W2962793481","https://openalex.org/W2963270153","https://openalex.org/W2964027067","https://openalex.org/W2964184826","https://openalex.org/W2964211610","https://openalex.org/W2967957126","https://openalex.org/W2998387309","https://openalex.org/W3012807747","https://openalex.org/W3034431451","https://openalex.org/W3034522014","https://openalex.org/W3159890710"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2055243143","https://openalex.org/W2088836968","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2369480852","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W3179723530"],"abstract_inverted_index":{"In":[0],"this":[1,151],"paper,":[2],"we":[3,153,196,237],"identify":[4],"and":[5,36,99,169,188,202],"study":[6],"an":[7,241,252],"important":[8],"problem":[9,17],"of":[10,22,63,88,127,139,174,178,207,219],"gradient":[11,223],"item":[12,35,113,163,180,187,201,212,242,258],"retrieval.":[13],"We":[14,225],"define":[15],"the":[16,77,96,101,105,110,120,125,128,133,171,179,199,205,208,211,257],"as":[18,191],"retrieving":[19,136],"a":[20,25,29,33,37,43,46,53,86,137,145,155,161,185,189,192,217,222],"sequence":[21,87,138,218,243],"items":[23,122,220],"with":[24,90,141,150],"gradual":[26,142],"change":[27,143],"on":[28,59,95,118,144,251,266],"certain":[30,146],"attribute,":[31],"given":[32],"reference":[34,186,200],"modification":[38,190,209],"text.":[39],"For":[40],"example,":[41],"after":[42],"customer":[44,102],"saw":[45],"white":[47,97],"dress,":[48,98],"she/he":[49],"wants":[50],"to":[51,75,84,103,176,215],"buy":[52],"similar":[54],"one":[55,70,108],"but":[56,131],"more":[57],"floral":[58,71,92],"it.":[60],"The":[61],"extent":[62],"\u201dmore":[64],"floral\u201d":[65],"is":[66,73,83,248],"subjective,":[67],"thus":[68],"prompting":[69],"dress":[72],"hard":[74],"satisfy":[76],"customer\u2019s":[78],"needs.":[79],"A":[80],"better":[81],"way":[82],"present":[85],"products":[89,140],"increasingly":[91],"attributes":[93,175],"based":[94],"allow":[100],"select":[104],"most":[106],"satisfactory":[107],"from":[109,165,198],"sequence.":[111],"Existing":[112],"retrieval":[114,259],"methods":[115],"mainly":[116],"focus":[117],"whether":[119],"target":[121],"appear":[123],"at":[124],"top":[126],"retrieved":[129,244],"sequence,":[130],"ignore":[132],"demand":[134],"for":[135],"attribute.":[147],"To":[148],"deal":[149],"problem,":[152],"propose":[154],"weakly-supervised":[156],"method":[157,183,229,247,262],"that":[158,240],"can":[159,230],"learn":[160],"disentangled":[162],"representation":[164,213],"user-item":[166],"interaction":[167],"data":[168],"ground":[170],"semantic":[172],"meaning":[173],"dimensions":[177],"representation.":[181],"Our":[182],"takes":[184],"query.":[193],"During":[194],"inference,":[195],"start":[197],"\u201dwalk\u201d":[203],"along":[204],"direction":[206],"in":[210,221,256],"space":[214],"retrieve":[216],"manner.":[224],"demonstrate":[226],"our":[227,246,261],"proposed":[228],"achieve":[231],"disentanglement":[232],"through":[233],"weak":[234],"supervision.":[235],"Besides,":[236],"empirically":[238],"show":[239],"by":[245],"gradually":[249],"changed":[250],"indicated":[253],"attribute":[254],"and,":[255],"task,":[260],"outperforms":[263],"existing":[264],"approaches":[265],"three":[267],"different":[268],"datasets.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}