{"id":"https://openalex.org/W2056705371","doi":"https://doi.org/10.1145/1390334.1390404","title":"Optimizing relevance and revenue in ad search","display_name":"Optimizing relevance and revenue in ad search","publication_year":2008,"publication_date":"2008-07-20","ids":{"openalex":"https://openalex.org/W2056705371","doi":"https://doi.org/10.1145/1390334.1390404","mag":"2056705371"},"language":"en","primary_location":{"id":"doi:10.1145/1390334.1390404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"article","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/A5081692910","display_name":"Filip Radlinski","orcid":"https://orcid.org/0000-0002-1386-9288"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Filip Radlinski","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108541542","display_name":"Andrei Broder","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrei Broder","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031237310","display_name":"Peter Ciccolo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Ciccolo","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013932834","display_name":"Evgeniy Gabrilovich","orcid":"https://orcid.org/0000-0001-7933-1926"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evgeniy Gabrilovich","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037908462","display_name":"Vanja Josifovski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vanja Josifovski","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055785402","display_name":"Lance Riedel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lance Riedel","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":39.4067,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.99731565,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"403","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991000294685364,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991000294685364,"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/T12016","display_name":"Web Data Mining and Analysis","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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"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/relevance","display_name":"Relevance (law)","score":0.805658757686615},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.7688684463500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296191453933716},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.6350465416908264},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.556284487247467},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5380913615226746},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.41186514496803284},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3770168423652649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22168472409248352},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12402012944221497},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09461584687232971},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08842349052429199}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.805658757686615},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.7688684463500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296191453933716},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.6350465416908264},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.556284487247467},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5380913615226746},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.41186514496803284},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3770168423652649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22168472409248352},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12402012944221497},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09461584687232971},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08842349052429199},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1390334.1390404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W66690650","https://openalex.org/W103965747","https://openalex.org/W1481308070","https://openalex.org/W1482214997","https://openalex.org/W1574901103","https://openalex.org/W1576520375","https://openalex.org/W1964348731","https://openalex.org/W1978394996","https://openalex.org/W1985844568","https://openalex.org/W1999817920","https://openalex.org/W2002306339","https://openalex.org/W2018159142","https://openalex.org/W2073448073","https://openalex.org/W2098876286","https://openalex.org/W2099664903","https://openalex.org/W2105106523","https://openalex.org/W2123198781","https://openalex.org/W2125045187","https://openalex.org/W2147152072","https://openalex.org/W2169213601","https://openalex.org/W2170741935","https://openalex.org/W2547844570","https://openalex.org/W3122305203","https://openalex.org/W4246858749","https://openalex.org/W6628905179"],"related_works":["https://openalex.org/W3125099825","https://openalex.org/W25115902","https://openalex.org/W2753408573","https://openalex.org/W4285147705","https://openalex.org/W1986338457","https://openalex.org/W2066844180","https://openalex.org/W4293192099","https://openalex.org/W4253553932","https://openalex.org/W3132513730","https://openalex.org/W2984525013"],"abstract_inverted_index":{"The":[0],"primary":[1],"business":[2],"model":[3],"behind":[4],"Web":[5],"search":[6,19,42],"is":[7,51,101],"based":[8],"on":[9],"textual":[10],"advertising,":[11],"where":[12],"contextually":[13],"relevant":[14,34],"ads":[15,28,57],"are":[16,32],"displayed":[17],"alongside":[18],"results.":[20],"We":[21,78],"address":[22],"the":[23,36,41,55,88],"problem":[24],"of":[25,87,91],"selecting":[26],"these":[27,60],"so":[29],"that":[30,45,58,100,115,126],"they":[31],"both":[33],"to":[35,40,73,103],"queries":[37,111],"and":[38,49,68,76,108,119],"profitable":[39],"engine,":[43],"showing":[44],"optimizing":[46,141],"ad":[47],"relevance":[48,75,131],"revenue":[50],"not":[52],"equivalent.":[53],"Selecting":[54],"best":[56],"satisfy":[59],"constraints":[61,70],"also":[62],"naturally":[63],"incurs":[64],"high":[65],"computational":[66],"costs,":[67],"time":[69],"can":[71],"lead":[72],"reduced":[74],"profitability.":[77],"propose":[79],"a":[80,113,133],"novel":[81],"two-stage":[82],"approach,":[83],"which":[84],"conducts":[85],"most":[86],"analysis":[89],"ahead":[90],"time.":[92],"An":[93],"offine":[94],"preprocessing":[95],"phase":[96],"leverages":[97],"additional":[98],"knowledge":[99],"impractical":[102],"use":[104],"in":[105,112,150],"real":[106],"time,":[107],"rewrites":[109],"frequent":[110],"way":[114],"subsequently":[116],"facilitates":[117],"fast":[118],"accurate":[120],"online":[121],"matching.":[122],"Empirical":[123],"evaluation":[124],"shows":[125],"our":[127],"method":[128,135],"optimized":[129],"for":[130,142],"matches":[132],"state-of-the-art":[134],"while":[136],"improving":[137],"expected":[138,151],"revenue.":[139,152],"When":[140],"revenue,":[143],"we":[144],"see":[145],"even":[146],"more":[147],"substantial":[148],"improvements":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}