{"id":"https://openalex.org/W2062806705","doi":"https://doi.org/10.1145/2501040.2501978","title":"CTR prediction for contextual advertising","display_name":"CTR prediction for contextual advertising","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2062806705","doi":"https://doi.org/10.1145/2501040.2501978","mag":"2062806705"},"language":"en","primary_location":{"id":"doi:10.1145/2501040.2501978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2501040.2501978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh International Workshop on Data Mining for Online Advertising","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/A5079666978","display_name":"Yukihiro Tagami","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yukihiro Tagami","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104453939","display_name":"Shingo Ono","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shingo Ono","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102124622","display_name":"Yamamoto Koji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koji Yamamoto","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022342647","display_name":"Koji Tsukamoto","orcid":"https://orcid.org/0000-0002-1104-0724"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koji Tsukamoto","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000476077","display_name":"Akira Tajima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akira Tajima","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.618,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95349283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9958999752998352,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9894999861717224,"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":0.8330508470535278},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7439188957214355},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.7230885624885559},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.623548150062561},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6075724363327026},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5797580480575562},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5738729238510132},{"id":"https://openalex.org/keywords/contextual-advertising","display_name":"Contextual advertising","score":0.5402812957763672},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5109238028526306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44262710213661194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43318891525268555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38937443494796753},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28699034452438354},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.25200241804122925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330508470535278},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7439188957214355},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.7230885624885559},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.623548150062561},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6075724363327026},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5797580480575562},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5738729238510132},{"id":"https://openalex.org/C70133500","wikidata":"https://www.wikidata.org/wiki/Q1815904","display_name":"Contextual advertising","level":4,"score":0.5402812957763672},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5109238028526306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44262710213661194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43318891525268555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38937443494796753},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28699034452438354},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.25200241804122925},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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:10.1145/2501040.2501978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2501040.2501978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh International Workshop on Data Mining for Online Advertising","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":29,"referenced_works":["https://openalex.org/W196422389","https://openalex.org/W1492942844","https://openalex.org/W1517222953","https://openalex.org/W1969675113","https://openalex.org/W1970210633","https://openalex.org/W1973500996","https://openalex.org/W1995609428","https://openalex.org/W1996976533","https://openalex.org/W2009892466","https://openalex.org/W2011720192","https://openalex.org/W2012905273","https://openalex.org/W2030978506","https://openalex.org/W2047221353","https://openalex.org/W2053323136","https://openalex.org/W2059001985","https://openalex.org/W2073448073","https://openalex.org/W2108862644","https://openalex.org/W2108892151","https://openalex.org/W2112941141","https://openalex.org/W2117423367","https://openalex.org/W2118585731","https://openalex.org/W2125015703","https://openalex.org/W2128877075","https://openalex.org/W2143331230","https://openalex.org/W2148569613","https://openalex.org/W2159545104","https://openalex.org/W2162979096","https://openalex.org/W2186377532","https://openalex.org/W2188460664"],"related_works":["https://openalex.org/W2334894004","https://openalex.org/W4286419063","https://openalex.org/W2162862818","https://openalex.org/W2059068852","https://openalex.org/W2106728444","https://openalex.org/W2182236941","https://openalex.org/W2121589321","https://openalex.org/W1968049117","https://openalex.org/W2189445406","https://openalex.org/W2253381368"],"abstract_inverted_index":{"Contextual":[0],"advertising":[1,5,30],"is":[2,110],"a":[3,11,25,46,77,87,98],"textual":[4],"displayed":[6],"within":[7],"the":[8,16,53,58,63],"content":[9],"of":[10,39,62],"generic":[12],"web":[13],"page.":[14],"Predicting":[15],"probability":[17],"that":[18,60],"users":[19],"will":[20],"click":[21,65,83],"on":[22,52,57,90,97,102],"ads":[23,70],"plays":[24],"crucial":[26],"role":[27],"in":[28,119],"contextual":[29],"because":[31],"it":[32],"influences":[33],"ranking,":[34],"filtering,":[35],"placement,":[36],"and":[37,69,85],"pricing":[38],"ads.":[40],"In":[41],"this":[42,94],"paper,":[43],"we":[44,75],"introduce":[45],"click-through":[47],"rate":[48],"prediction":[49],"algorithm":[50],"based":[51,101],"learning-to-rank":[54],"approach.":[55],"Focusing":[56],"fact":[59],"some":[61],"past":[64],"data":[66,99],"are":[67,71],"noisy":[68],"ranked":[72],"as":[73],"lists,":[74],"build":[76],"ranking":[78],"model":[79,89],"by":[80],"using":[81],"partial":[82],"logs":[84,103],"then":[86],"regression":[88],"it.":[91],"We":[92],"evaluated":[93],"approach":[95],"offline":[96],"set":[100],"from":[104],"an":[105],"ad":[106],"network.":[107],"Our":[108],"method":[109],"observed":[111],"to":[112],"achieve":[113],"better":[114],"results":[115],"than":[116],"other":[117],"baselines":[118],"our":[120],"three":[121],"metrics.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
