{"id":"https://openalex.org/W3034969702","doi":"https://doi.org/10.1145/3397271.3401446","title":"Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning","display_name":"Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3034969702","doi":"https://doi.org/10.1145/3397271.3401446","mag":"3034969702"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","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/A5100399382","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0003-4429-9959"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Zhang","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714543","display_name":"Songlin Wang","orcid":"https://orcid.org/0000-0003-0102-9123"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Wang","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432232","display_name":"Kang Zhang","orcid":"https://orcid.org/0000-0002-4549-1697"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Zhang","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009651371","display_name":"Zhiling Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiling Tang","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073032098","display_name":"Yunjiang Jiang","orcid":"https://orcid.org/0009-0000-0726-1842"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunjiang Jiang","raw_affiliation_strings":["JD.com Silicon Valley Research Center, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"JD.com Silicon Valley Research Center, San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419454","display_name":"Yun Xiao","orcid":"https://orcid.org/0000-0002-5285-8565"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Xiao","raw_affiliation_strings":["JD.com Silicon Valley Research Center, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"JD.com Silicon Valley Research Center, San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103185227","display_name":"Weipeng Yan","orcid":"https://orcid.org/0000-0001-5112-2655"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weipeng Yan","raw_affiliation_strings":["JD.com &amp; JD.com Silicon Valley Research Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com &amp; JD.com Silicon Valley Research Center, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010877916","display_name":"Wen-Yun Yang","orcid":"https://orcid.org/0009-0006-4551-7996"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen-Yun Yang","raw_affiliation_strings":["JD.com Silicon Valley Research Center, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"JD.com Silicon Valley Research Center, San Francisco, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100399382"],"corresponding_institution_ids":["https://openalex.org/I4210103986"],"apc_list":null,"apc_paid":null,"fwci":10.8668,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.98335719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2407","last_page":"2416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9958999752998352,"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":0.9950000047683716,"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":0.8434013724327087},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7234012484550476},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6612129211425781},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.6323054432868958},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5909050703048706},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5579593777656555},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.510529637336731},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4884995222091675},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4390139579772949},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4347722828388214},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4187115430831909},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.4159685969352722},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.39827799797058105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24099937081336975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434013724327087},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7234012484550476},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6612129211425781},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.6323054432868958},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5909050703048706},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5579593777656555},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.510529637336731},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4884995222091675},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4390139579772949},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4347722828388214},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4187115430831909},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.4159685969352722},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.39827799797058105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24099937081336975},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1973435495","https://openalex.org/W1974360117","https://openalex.org/W2107743791","https://openalex.org/W2136189984","https://openalex.org/W2142920810","https://openalex.org/W2147152072","https://openalex.org/W2186845332","https://openalex.org/W2463133191","https://openalex.org/W2512971201","https://openalex.org/W2513853793","https://openalex.org/W2536015822","https://openalex.org/W2539671052","https://openalex.org/W2564434159","https://openalex.org/W2622338386","https://openalex.org/W2783666221","https://openalex.org/W2798904209","https://openalex.org/W2809205451","https://openalex.org/W2891177506","https://openalex.org/W2913932916","https://openalex.org/W2998508934","https://openalex.org/W3106181667","https://openalex.org/W3122775348","https://openalex.org/W4206827264","https://openalex.org/W4233135949","https://openalex.org/W4252222626","https://openalex.org/W6643393412"],"related_works":["https://openalex.org/W2185998359","https://openalex.org/W218333555","https://openalex.org/W2262062475","https://openalex.org/W2186976797","https://openalex.org/W1760324756","https://openalex.org/W2093311372","https://openalex.org/W1926636715","https://openalex.org/W979688644","https://openalex.org/W2940786036","https://openalex.org/W2111960202"],"abstract_inverted_index":{"Nowadays":[0],"e-commerce":[1,19],"search":[2,51,144,169],"has":[3,163],"become":[4],"an":[5],"integral":[6],"part":[7],"of":[8],"many":[9],"people's":[10],"shopping":[11],"routines.":[12],"Two":[13],"critical":[14],"challenges":[15],"stay":[16],"in":[17],"today's":[18],"search:":[20],"how":[21,37,82,96],"to":[22,33,38,45,71,83,90,97,103,140],"retrieve":[23,39,133],"items":[24,40,139],"that":[25,41,123],"are":[26,42],"semantically":[27,137],"relevant":[28,138],"but":[29],"not":[30],"exact":[31],"matching":[32],"query":[34,105],"terms,":[35],"and":[36,68,95,106,114,129,136],"more":[43,134],"personalized":[44,135],"different":[46],"users":[47],"for":[48,65,151],"the":[49],"same":[50],"query.":[52],"In":[53],"this":[54,73],"paper,":[55],"we":[56,76,121],"present":[57],"a":[58,85,99,158],"novel":[59],"approach":[60],"called":[61],"DPSR,":[62],"which":[63],"stands":[64],"Deep":[66],"Personalized":[67],"Semantic":[69],"Retrieval,":[70],"tackle":[72],"problem.":[74],"Explicitly,":[75],"share":[77],"our":[78,160],"design":[79],"decisions":[80],"on":[81,111],"architect":[84],"retrieval":[86],"system":[87,131,162],"so":[88,101],"as":[89,102],"serve":[91],"industry-scale":[92],"traffic":[93],"efficiently":[94],"train":[98],"model":[100,125],"learn":[104],"item":[107],"semantics":[108],"accurately.":[109],"Based":[110],"offline":[112],"evaluations":[113],"online":[115],"A/B":[116],"test":[117],"with":[118],"live":[119],"traffics,":[120],"show":[122],"DPSR":[124,130,161],"outperforms":[126],"existing":[127],"models,":[128],"can":[132],"significantly":[141],"improve":[142],"users'":[143],"experience":[145],"by":[146,155],"+1.29%":[147],"conversion":[148],"rate,":[149],"especially":[150],"long":[152],"tail":[153],"queries":[154],"+10.03%.":[156],"As":[157],"result,":[159],"been":[164],"successfully":[165],"deployed":[166],"into":[167],"JD.com's":[168],"production":[170],"since":[171],"2019.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
