{"id":"https://openalex.org/W3171734937","doi":"https://doi.org/10.1145/3447548.3467126","title":"VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search","display_name":"VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3171734937","doi":"https://doi.org/10.1145/3447548.3467126","mag":"3171734937"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467126","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & 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/10.1145/3447548.3467126","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104083321","display_name":"Shaunak Mishra","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":true,"raw_author_name":"Shaunak Mishra","raw_affiliation_strings":["Yahoo Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060635553","display_name":"Mikhail Kuznetsov","orcid":"https://orcid.org/0000-0003-1009-7224"},"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":"Mikhail Kuznetsov","raw_affiliation_strings":["Yahoo Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101960106","display_name":"Gaurav Srivastava","orcid":"https://orcid.org/0000-0003-2237-3636"},"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":"Gaurav Srivastava","raw_affiliation_strings":["Yahoo Research, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo Research, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111449864","display_name":"Maxim Sviridenko","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]},{"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":"Maxim Sviridenko","raw_affiliation_strings":["Yahoo! Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210133173","https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104083321"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54488562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3404","last_page":"3413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9959999918937683,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9959999918937683,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9908000230789185,"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/T10028","display_name":"Topic Modeling","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8235276341438293},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.70829176902771},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.7013829946517944},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5411315560340881},{"id":"https://openalex.org/keywords/onboarding","display_name":"Onboarding","score":0.5065065622329712},{"id":"https://openalex.org/keywords/keyword-density","display_name":"Keyword density","score":0.4453403651714325},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4436952769756317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4104191064834595},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36583009362220764},{"id":"https://openalex.org/keywords/keyword-search","display_name":"Keyword search","score":0.3569904863834381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8235276341438293},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.70829176902771},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.7013829946517944},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5411315560340881},{"id":"https://openalex.org/C2779185108","wikidata":"https://www.wikidata.org/wiki/Q7091744","display_name":"Onboarding","level":2,"score":0.5065065622329712},{"id":"https://openalex.org/C57560718","wikidata":"https://www.wikidata.org/wiki/Q125627","display_name":"Keyword density","level":3,"score":0.4453403651714325},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4436952769756317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4104191064834595},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36583009362220764},{"id":"https://openalex.org/C2988412617","wikidata":"https://www.wikidata.org/wiki/Q7441656","display_name":"Keyword search","level":2,"score":0.3569904863834381},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467126","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3447548.3467126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467126","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171734937.pdf","grobid_xml":"https://content.openalex.org/works/W3171734937.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2576546819","https://openalex.org/W2767522004","https://openalex.org/W2950133940","https://openalex.org/W2951838614","https://openalex.org/W2953106684","https://openalex.org/W2963037330","https://openalex.org/W2964227928","https://openalex.org/W2972770105","https://openalex.org/W3002544904","https://openalex.org/W3033912416","https://openalex.org/W3034837210","https://openalex.org/W3093496541","https://openalex.org/W3099465677"],"related_works":["https://openalex.org/W2795900462","https://openalex.org/W1496822620","https://openalex.org/W2197440050","https://openalex.org/W2614415116","https://openalex.org/W2785037737","https://openalex.org/W3093477062","https://openalex.org/W2314592662","https://openalex.org/W2606928473","https://openalex.org/W190266872","https://openalex.org/W348400776"],"abstract_inverted_index":{"Numerous":[0],"online":[1],"stock":[2,165,197,240],"image":[3,56,84,109,136,166,198,241],"libraries":[4],"offer":[5],"high":[6],"quality":[7],"yet":[8],"copyright":[9],"free":[10],"images":[11,35],"for":[12,45,140,169],"use":[13],"in":[14,20,51,128,236,247,252],"marketing":[15],"campaigns.":[16],"To":[17],"assist":[18],"advertisers":[19],"navigating":[21],"such":[22],"third":[23],"party":[24],"libraries,":[25],"we":[26,62,89,172,205],"study":[27],"the":[28,37,73,82,108,112,133,157,174,193,196,207,237,248,253],"problem":[29],"of":[30,137,176,209,229,239],"automatically":[31],"fetching":[32],"relevant":[33],"ad":[34,38,55,60,74,83,99,114,163,257],"given":[36],"text":[39,75,100,134],"(via":[40],"a":[41,64,69,226,233,244],"short":[42],"textual":[43],"query":[44,110],"images).":[46],"Motivated":[47],"by":[48,130],"our":[49],"observations":[50],"logged":[52],"data":[53,154],"on":[54,118,121,211],"search":[57,167],"queries":[58],"(given":[59],"text),":[61],"formulate":[63],"keyword":[65,70,142,181],"extraction":[66,125,182],"problem,":[67],"where":[68],"extracted":[71],"from":[72,111,156],"(or":[76],"its":[77],"augmented":[78,113],"version)":[79],"serves":[80],"as":[81],"query.":[85],"In":[86],"this":[87],"context,":[88],"propose":[90],"VisualTextRank:":[91],"an":[92,185],"unsupervised":[93],"method":[94],"to":[95,179,202,215,232],"(i)":[96],"augment":[97],"input":[98],"using":[101,145],"semantically":[102,219],"similar":[103,138,220],"ads,":[104],"and":[105,135,144,243],"(ii)":[106],"extract":[107],"text.":[115],"VisualTextRank":[116,177,210,230],"builds":[117],"prior":[119],"work":[120],"graph":[122],"based":[123],"context":[124],"(biased":[126],"TextRank":[127],"particular)":[129],"leveraging":[131,218],"both":[132],"ads":[139,213],"better":[141],"extraction,":[143],"advertiser":[146,249],"category":[147],"specific":[148],"biasing":[149],"with":[150,225],"sentence-BERT":[151],"embeddings.":[152],"Using":[153],"collected":[155],"Verizon":[158,254],"Media":[159,255],"Native":[160,256],"(Yahoo":[161],"Gemini)":[162],"platform's":[164],"feature":[168],"onboarding":[170,250],"advertisers,":[171],"demonstrate":[173],"superiority":[175],"compared":[178],"competitive":[180],"baselines":[183],"(including":[184],"11%":[186],"accuracy":[187],"lift":[188],"over":[189],"biased":[190],"TextRank).":[191],"For":[192],"case":[194],"when":[195],"library":[199],"is":[200],"restricted":[201],"English":[203,221],"queries,":[204],"show":[206],"effectiveness":[208],"multilingual":[212],"(translated":[214],"English)":[216],"while":[217],"ads.":[222],"Online":[223],"tests":[224],"simplified":[227],"version":[228],"led":[231],"28.7%":[234],"increase":[235,246],"usage":[238],"search,":[242],"41.6%":[245],"rate":[251],"platform.":[258]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}