{"id":"https://openalex.org/W2783914869","doi":"https://doi.org/10.1145/3159652.3159716","title":"Web Search of Fashion Items with Multimodal Querying","display_name":"Web Search of Fashion Items with Multimodal Querying","publication_year":2018,"publication_date":"2018-02-02","ids":{"openalex":"https://openalex.org/W2783914869","doi":"https://doi.org/10.1145/3159652.3159716","mag":"2783914869"},"language":"en","primary_location":{"id":"doi:10.1145/3159652.3159716","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3159652.3159716","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3159652.3159716?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","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/10.1145/3159652.3159716?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075482806","display_name":"Katrien Laenen","orcid":"https://orcid.org/0000-0003-1376-9030"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Katrien Laenen","raw_affiliation_strings":["KU Leuven, Heverlee, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064724661","display_name":"Susana Zoghbi","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Susana Zoghbi","raw_affiliation_strings":["KU Leuven, Heverlee, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075796989","display_name":"Marie\u2010Francine Moens","orcid":"https://orcid.org/0000-0002-3732-9323"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marie-Francine Moens","raw_affiliation_strings":["KU Leuven, Heverlee, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075482806"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":1.5669,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.87396355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9979000091552734,"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":0.9979000091552734,"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":0.995199978351593,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8525869846343994},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7826685905456543},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5346806049346924},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5299666523933411},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.49064746499061584},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4615905284881592},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4427322745323181},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.43652328848838806},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4123988747596741},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.4102506637573242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.348978728055954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25365695357322693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8525869846343994},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7826685905456543},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5346806049346924},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5299666523933411},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.49064746499061584},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4615905284881592},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4427322745323181},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.43652328848838806},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4123988747596741},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.4102506637573242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.348978728055954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25365695357322693},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3159652.3159716","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3159652.3159716","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3159652.3159716?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/602811","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/602811","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"The 11th ACM International Conference on Web Search and Data Mining, Los Angeles, 5-9 February 2018","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3159652.3159716","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3159652.3159716","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3159652.3159716?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783914869.pdf","grobid_xml":"https://content.openalex.org/works/W2783914869.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1895577753","https://openalex.org/W1905882502","https://openalex.org/W1947481528","https://openalex.org/W1987438766","https://openalex.org/W2021354639","https://openalex.org/W2084120038","https://openalex.org/W2143183660","https://openalex.org/W2155893237","https://openalex.org/W2200092826","https://openalex.org/W2250460709","https://openalex.org/W2313131270","https://openalex.org/W2625758617","https://openalex.org/W2735001949","https://openalex.org/W2770895039","https://openalex.org/W2950577311","https://openalex.org/W2964211610","https://openalex.org/W3099726625","https://openalex.org/W4301213493"],"related_works":["https://openalex.org/W4282568653","https://openalex.org/W2026738364","https://openalex.org/W2096359267","https://openalex.org/W1997310773","https://openalex.org/W2119380317","https://openalex.org/W2901901036","https://openalex.org/W2093300859","https://openalex.org/W2070155952","https://openalex.org/W2533706070","https://openalex.org/W2105258824"],"abstract_inverted_index":{"In":[0,27],"this":[1,28],"paper,":[2],"we":[3,138,207],"introduce":[4],"a":[5,17,34,119,124,135,140,160,180],"novel":[6],"multimodal":[7,18,142,161,181,220],"fashion":[8,35,102,128,148,221],"search":[9,60,80,94],"paradigm":[10],"where":[11,150],"e-commerce":[12,79],"data":[13],"is":[14,74,188],"searched":[15],"with":[16],"query":[19,31,43,198,204],"composed":[20],"of":[21,98],"both":[22,194],"an":[23],"image":[24,32,199],"and":[25,41,85,100,108,116,126,146,171,201],"text.":[26],"setting,":[29],"the":[30,38,42,53,56,63,90,112,131,167,196,203],"shows":[33],"product":[36,49,54,153],"that":[37,185,193,209],"user":[39],"likes":[40],"text":[44],"allows":[45],"to":[46,51,55,65,77,88,110,121,179,190,219],"change":[47],"certain":[48],"attributes":[50,103,149,200],"fit":[52],"user's":[57,113],"desire.":[58],"Multimodal":[59,93],"gives":[61],"users":[62],"means":[64],"clearly":[66],"express":[67],"what":[68],"they":[69],"are":[70,83],"looking":[71],"for.":[72],"This":[73],"in":[75],"contrast":[76],"current":[78],"mechanisms,":[81],"which":[82,104,117,164,172],"cumbersome":[84],"often":[86],"fail":[87],"grasp":[89],"customer's":[91],"needs.":[92],"requires":[95],"intermodal":[96,169],"representations":[97,170],"visual":[99,125,145],"textual":[101,127,147],"can":[105],"be":[106],"mixed":[107],"matched":[109],"form":[111],"desired":[114],"product,":[115],"have":[118],"mechanism":[120],"indicate":[122],"when":[123],"attribute":[129],"represent":[130],"same":[132],"concept.":[133],"With":[134],"neural":[136],"network,":[137],"induce":[139],"common,":[141],"space":[143],"for":[144],"their":[151,155,177],"inner":[152],"measures":[154],"semantic":[156],"similarity.":[157],"We":[158,183],"build":[159],"retrieval":[162,216],"model":[163,187,211],"operates":[165],"on":[166,176],"obtained":[168],"ranks":[173],"images":[174,192],"based":[175],"relevance":[178],"query.":[182],"demonstrate":[184],"our":[186,210],"able":[189],"retrieve":[191],"exhibit":[195],"necessary":[197],"satisfy":[202],"texts.":[205],"Moreover,":[206],"show":[208],"substantially":[212],"outperforms":[213],"two":[214],"state-of-the-art":[215],"models":[217],"adapted":[218],"search.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}