{"id":"https://openalex.org/W3117140070","doi":"https://doi.org/10.1145/3437963.3441819","title":"Triangular Bidword Generation for Sponsored Search Auction","display_name":"Triangular Bidword Generation for Sponsored Search Auction","publication_year":2021,"publication_date":"2021-03-06","ids":{"openalex":"https://openalex.org/W3117140070","doi":"https://doi.org/10.1145/3437963.3441819","mag":"3117140070"},"language":"en","primary_location":{"id":"doi:10.1145/3437963.3441819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437963.3441819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2101.11349","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhenqiao Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhenqiao Song","raw_affiliation_strings":["ByteDance AI Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiaze Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaze Chen","raw_affiliation_strings":["ByteDance AI Lab, Beijing, China"],"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["ByteDance AI Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["ByteDance AI Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3588,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6075347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9832000136375427,"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/set","display_name":"Set (abstract data type)","score":0.5916000008583069},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.453900009393692},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.41040000319480896},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4025999903678894},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.3910999894142151},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.3837999999523163},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.36410000920295715},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.3458000123500824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297999858856201},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5916000008583069},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4122999906539917},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39959999918937683},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.36410000920295715},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C74979957","wikidata":"https://www.wikidata.org/wiki/Q4819604","display_name":"Auction algorithm","level":5,"score":0.27140000462532043},{"id":"https://openalex.org/C201789804","wikidata":"https://www.wikidata.org/wiki/Q2362762","display_name":"Search problem","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26080000400543213},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3437963.3441819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437963.3441819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2101.11349","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.11349","pdf_url":"https://arxiv.org/pdf/2101.11349","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2101.11349","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.11349","pdf_url":"https://arxiv.org/pdf/2101.11349","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2045729350","https://openalex.org/W2045865594","https://openalex.org/W2111748568","https://openalex.org/W2127347613","https://openalex.org/W2141457763","https://openalex.org/W2154463588","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2251743902","https://openalex.org/W2552124255","https://openalex.org/W2783640434","https://openalex.org/W2809577315","https://openalex.org/W2887228690","https://openalex.org/W2952088495","https://openalex.org/W2962734882","https://openalex.org/W2962784628","https://openalex.org/W2962965405","https://openalex.org/W2963206148","https://openalex.org/W2963247703","https://openalex.org/W2963456134","https://openalex.org/W2966746916","https://openalex.org/W3106321930"],"related_works":[],"abstract_inverted_index":{"Sponsored":[0],"search":[1,9,29,93,100,147],"auction":[2],"is":[3,82],"a":[4,13,53,69],"crucial":[5],"component":[6],"of":[7,15,64,99,122,160],"modern":[8],"engines.":[10],"It":[11],"requires":[12],"set":[14],"candidate":[16],"bidwords":[17,27,144,164],"that":[18,118,135],"advertisers":[19],"can":[20,105,139],"place":[21],"bids":[22],"on.":[23],"Existing":[24],"methods":[25],"generate":[26,140],"from":[28,37],"queries":[30,148],"or":[31],"advertisement":[32,102],"content.":[33],"However,":[34],"they":[35],"suffer":[36],"the":[38,61,75,90,97,110,116,119,158,161],"data":[39,63,121,156],"noise":[40],"in":[41,109],"(query,":[42,66],"bidword)":[43,46],"and":[44,95,103,131,142,149],"(advertisement,":[45],"pairs.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"triangular":[54,111],"bidword":[55,76,88,104,123],"generation":[56,77,98],"model":[57,81],"(TRIDENT),":[58],"which":[59],"takes":[60],"high-quality":[62],"paired":[65],"advertisement)":[67],"as":[68,89],"supervision":[70],"signal":[71],"to":[72],"indirectly":[73],"guide":[74],"process.":[78],"Our":[79,151],"proposed":[80,137],"simple":[83],"yet":[84],"effective:":[85],"by":[86],"using":[87],"bridge":[91],"between":[92],"query":[94],"advertisement,":[96],"query,":[101],"be":[106,125],"jointly":[107],"learned":[108],"training":[112,120],"framework.":[113],"This":[114],"alleviates":[115],"problem":[117],"may":[124],"noisy.":[126],"Experimental":[127],"results,":[128],"including":[129],"automatic":[130],"human":[132],"evaluations,":[133],"show":[134],"our":[136],"TRIDENT":[138],"relevant":[141],"diverse":[143],"for":[145,165],"both":[146],"advertisements.":[150],"evaluation":[152],"on":[153],"online":[154],"real":[155],"validates":[157],"effectiveness":[159],"TRIDENT's":[162],"generated":[163],"product":[166],"search.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2021-01-05T00:00:00"}
