{"id":"https://openalex.org/W1990209780","doi":"https://doi.org/10.1145/2661829.2661898","title":"Query Augmentation based Intent Matching in Retail Vertical Ads","display_name":"Query Augmentation based Intent Matching in Retail Vertical Ads","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1990209780","doi":"https://doi.org/10.1145/2661829.2661898","mag":"1990209780"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2661898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046520437","display_name":"Huasha Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huasha Zhao","raw_affiliation_strings":["University of California Berkeley, Berkeley, CA, USA","University of California, Berkeley, Berkeley, CA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359105","display_name":"Ye Chen","orcid":"https://orcid.org/0000-0002-4541-5918"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Chen","raw_affiliation_strings":["Microsoft, Sunnyvale, CA, USA","Microsoft, Sunnyvale, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Sunnyvale, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089723214","display_name":"John Canny","orcid":"https://orcid.org/0000-0002-7161-7927"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Canny","raw_affiliation_strings":["University of California Berkeley, Berkeley, CA, USA","University of California, Berkeley, Berkeley, CA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109035293","display_name":"Tak W. Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tak Yan","raw_affiliation_strings":["Microsoft, Sunnyvale, CA, USA","Microsoft, Sunnyvale, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Sunnyvale, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"619","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9995999932289124,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9995999932289124,"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":0.9993000030517578,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7771353721618652},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7575984001159668},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6695899963378906},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6368175148963928},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5798447132110596},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5736042261123657},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5580403208732605},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5532613396644592},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5430346131324768},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.542926013469696},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5038365721702576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10331103205680847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771353721618652},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7575984001159668},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6695899963378906},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6368175148963928},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5798447132110596},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5736042261123657},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5580403208732605},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5532613396644592},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5430346131324768},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.542926013469696},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5038365721702576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10331103205680847},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2661898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W58017990","https://openalex.org/W1662133657","https://openalex.org/W1880262756","https://openalex.org/W1987233790","https://openalex.org/W1993692165","https://openalex.org/W1997690648","https://openalex.org/W1999702719","https://openalex.org/W2002725217","https://openalex.org/W2041517243","https://openalex.org/W2049345989","https://openalex.org/W2051593977","https://openalex.org/W2053323136","https://openalex.org/W2056705371","https://openalex.org/W2060204748","https://openalex.org/W2073448073","https://openalex.org/W2074694452","https://openalex.org/W2087937280","https://openalex.org/W2090883204","https://openalex.org/W2100114016","https://openalex.org/W2105524250","https://openalex.org/W2113227443","https://openalex.org/W2135500808","https://openalex.org/W2136280112","https://openalex.org/W2139273454","https://openalex.org/W2147823173","https://openalex.org/W2163987313","https://openalex.org/W2167547465","https://openalex.org/W2169213601","https://openalex.org/W2170741935","https://openalex.org/W2255383145","https://openalex.org/W2997185401","https://openalex.org/W3122022408","https://openalex.org/W4246858749"],"related_works":["https://openalex.org/W2386723501","https://openalex.org/W2387879414","https://openalex.org/W2390304029","https://openalex.org/W2354923724","https://openalex.org/W2146830340","https://openalex.org/W2377101853","https://openalex.org/W2362180844","https://openalex.org/W2358294942","https://openalex.org/W4367460280","https://openalex.org/W2156296249"],"abstract_inverted_index":{"Search":[0],"advertising":[1],"shows":[2],"trends":[3],"of":[4,33,139],"vertical":[5,42,86],"extension.":[6],"Vertical":[7],"ads,":[8,15,87],"including":[9],"product":[10],"ads":[11,43,60],"and":[12,39,59,65,130,160],"local":[13],"search":[14,117],"are":[16,44],"proliferating":[17],"at":[18,47],"an":[19,80],"ever":[20],"increasing":[21],"pace.":[22],"They":[23],"typically":[24],"offer":[25],"better":[26,34],"ROI":[27],"to":[28,96,135,143],"advertisers":[29],"as":[30],"a":[31,52,108,120,132],"result":[32],"user":[35,57,116],"engagement.":[36],"However,":[37],"campaigns":[38],"bids":[40],"in":[41,164],"not":[45],"set":[46],"the":[48,54,66,137,140],"keyword":[49],"level.":[50],"As":[51],"result,":[53],"matching":[55,112],"between":[56],"query":[58,90],"suffers":[61],"low":[62],"recall":[63,99],"rate":[64,167],"match":[67],"quality":[68],"is":[69],"heavily":[70],"impacted":[71],"by":[72],"tail":[73,124],"queries.":[74,125],"In":[75,126],"this":[76],"paper,":[77],"we":[78,105,128,149],"propose":[79],"ad":[81,98,103,165,170],"retrieval":[82,166],"framework":[83],"for":[84,111],"retail":[85],"based":[88],"on":[89,123,154],"rewrite":[91],"using":[92],"personal":[93],"history":[94],"data":[95],"improve":[97],"rate.":[100],"To":[101],"insure":[102],"quality,":[104],"also":[106],"present":[107],"relevance":[109,141],"model":[110,142],"rewritten":[113],"queries":[114],"with":[115,119],"intent,":[118],"particular":[121],"focus":[122],"addition,":[127],"designed":[129],"implemented":[131],"GPU-based":[133],"system":[134],"accelerate":[136],"training":[138],"meet":[144],"production":[145],"performance":[146],"constraints.":[147],"Finally,":[148],"carry":[150],"out":[151],"extensive":[152],"experiments":[153],"large-scale":[155],"logs":[156],"collected":[157],"from":[158],"Bing,":[159],"show":[161],"significant":[162],"gains":[163],"without":[168],"compromising":[169],"quality.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}