{"id":"https://openalex.org/W2006022852","doi":"https://doi.org/10.1145/2505515.2514690","title":"Computational advertising","display_name":"Computational advertising","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2006022852","doi":"https://doi.org/10.1145/2505515.2514690","mag":"2006022852"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2514690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2514690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; Knowledge Management","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/A5049420901","display_name":"Deepak Agarwal","orcid":"https://orcid.org/0000-0003-2881-1254"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Deepak Agarwal","raw_affiliation_strings":["LinkedIn, Mountain View, CA, USA","[LinkedIn, Mountain View, CA, USA]"],"affiliations":[{"raw_affiliation_string":"LinkedIn, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"[LinkedIn, Mountain View, CA, USA]","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049420901"],"corresponding_institution_ids":["https://openalex.org/I1316064682"],"apc_list":null,"apc_paid":null,"fwci":2.8854,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91256607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1585","last_page":"1586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9553999900817871,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9553999900817871,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9348999857902527,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/bridge","display_name":"Bridge (graph theory)","score":0.7311871647834778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263486385345459},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6496671438217163},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.6002272367477417},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.41103559732437134},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36968499422073364},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.342079222202301},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3266057074069977},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3248487710952759},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.18349972367286682}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7311871647834778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263486385345459},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6496671438217163},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.6002272367477417},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.41103559732437134},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36968499422073364},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.342079222202301},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3266057074069977},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3248487710952759},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.18349972367286682},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2505515.2514690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2514690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; Knowledge Management","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1501776718","https://openalex.org/W657108774","https://openalex.org/W2615136228","https://openalex.org/W2390192952","https://openalex.org/W2373296418","https://openalex.org/W3213254966","https://openalex.org/W2377265617","https://openalex.org/W2156207377","https://openalex.org/W4284991268"],"abstract_inverted_index":{"LinkedIn":[0,60],"is":[1,38],"the":[2,8,104],"largest":[3],"professional":[4],"social":[5],"network":[6],"in":[7,87],"world":[9],"with":[10],"more":[11],"than":[12],"238M":[13],"members.":[14],"It":[15],"provides":[16],"a":[17,88],"platform":[18],"for":[19,42],"advertisers":[20],"to":[21,24,102],"reach":[22],"out":[23],"professionals":[25],"and":[26,32,55,74,108],"target":[27],"them":[28],"using":[29],"rich":[30],"profile":[31],"behavioral":[33],"data.":[34],"Thus,":[35],"online":[36],"advertising":[37,63],"an":[39,50],"important":[40],"business":[41],"LinkedIn.":[43],"In":[44],"this":[45],"talk,":[46],"I":[47,92],"will":[48,67,93],"give":[49],"overview":[51],"of":[52,99],"machine":[53,72],"learning":[54,73],"optimization":[56,75],"components":[57,86],"that":[58,81],"power":[59],"self-serve":[61],"display":[62],"systems.":[64],"The":[65],"talk":[66],"not":[68],"only":[69],"focus":[70],"on":[71],"methods,":[76],"but":[77],"various":[78],"practical":[79],"challenges":[80,101],"arise":[82],"when":[83],"running":[84],"such":[85],"real":[89],"production":[90],"environment.":[91],"describe":[94],"how":[95],"we":[96],"overcome":[97],"some":[98],"these":[100],"bridge":[103],"gap":[105],"between":[106],"theory":[107],"practice.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
