{"id":"https://openalex.org/W2026186045","doi":"https://doi.org/10.1145/2783258.2783351","title":"Website Optimization Problem and Its Solutions","display_name":"Website Optimization Problem and Its Solutions","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2026186045","doi":"https://doi.org/10.1145/2783258.2783351","mag":"2026186045"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2783351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2783258.2783351","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2783351&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2783351&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061334599","display_name":"Shuhei Iitsuka","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuhei Iitsuka","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074059447","display_name":"Yutaka Matsuo","orcid":"https://orcid.org/0000-0002-2070-4393"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Matsuo","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061334599"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.4006,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69197621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"447","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9973999857902527,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9973999857902527,"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":0.9839000105857849,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9751999974250793,"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":0.8309623003005981},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6348469257354736},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6206334829330444},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.524564266204834},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4930119216442108},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47454461455345154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3634670376777649},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19371339678764343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309623003005981},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6348469257354736},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6206334829330444},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.524564266204834},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4930119216442108},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47454461455345154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3634670376777649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19371339678764343},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2783258.2783351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2783258.2783351","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2783351&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2783258.2783351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2783258.2783351","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2783351&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2026186045.pdf","grobid_xml":"https://content.openalex.org/works/W2026186045.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W74636658","https://openalex.org/W572887147","https://openalex.org/W1519597478","https://openalex.org/W1532637815","https://openalex.org/W1968049117","https://openalex.org/W1975566260","https://openalex.org/W2031585418","https://openalex.org/W2038121406","https://openalex.org/W2059654640","https://openalex.org/W2063438171","https://openalex.org/W2070815407","https://openalex.org/W2072694942","https://openalex.org/W2095056536","https://openalex.org/W2099216531","https://openalex.org/W2104942079","https://openalex.org/W2107031757","https://openalex.org/W2110228583","https://openalex.org/W2110417303","https://openalex.org/W2112420033","https://openalex.org/W2117423367","https://openalex.org/W2126002144","https://openalex.org/W2126833378","https://openalex.org/W2142057089","https://openalex.org/W2144952620","https://openalex.org/W2147709600","https://openalex.org/W2168405694","https://openalex.org/W4298081798","https://openalex.org/W4300870773","https://openalex.org/W4400412639"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W2321594810"],"abstract_inverted_index":{"Online":[0],"controlled":[1],"experiments":[2,27,121],"are":[3,221],"widely":[4],"used":[5,173,197],"to":[6,18,37,81,101,106,118,225,229],"improve":[7],"the":[8,22,34,52,58,120,195],"performance":[9,190],"of":[10,14,21,60,194],"websites":[11,40,226],"by":[12],"comparison":[13],"user":[15],"behavior":[16],"related":[17],"different":[19],"variations":[20,54,139],"given":[23],"website.":[24,179],"Although":[25],"such":[26],"might":[28],"have":[29,41,48],"an":[30,169,176],"important":[31],"effect":[32],"on":[33,175],"key":[35],"metrics":[36],"maximize,":[38],"small-scale":[39,178],"difficulty":[42],"applying":[43],"this":[44,90,107],"methodology":[45],"because":[46],"they":[47],"few":[49,76,141],"users.":[50,142],"Furthermore,":[51],"candidate":[53],"increase":[55],"exponentially":[56],"with":[57,74,140,209],"number":[59],"elements":[61],"that":[62,69,136,153,182,193,220],"must":[63,78],"be":[64,79],"optimized.":[65],"A":[66],"testing":[67,113,134,199],"method":[68,135,147,167,185,204],"finds":[70],"a":[71,75,93,99,132,207],"high-performing":[72,138],"variation":[73,191],"samples":[77],"devised":[80],"address":[82],"these":[83],"problems.":[84],"As":[85],"described":[86],"herein,":[87],"we":[88,130,163],"formalize":[89],"problem":[91,96,215],"as":[92,168],"website":[94,160,208,213],"optimization":[95,214],"and":[97,115,128,172],"provide":[98],"basis":[100],"apply":[102],"existing":[103,112,156],"search":[104],"algorithms":[105,127],"problem.":[108],"We":[109,143],"further":[110],"organize":[111],"methods":[114,157],"extract":[116],"devices":[117],"make":[119],"more":[122],"effective.":[123],"By":[124],"combining":[125],"organized":[126],"devices,":[129],"propose":[131],"rapid":[133],"detects":[137],"evaluated":[144],"our":[145,165,183,202],"proposed":[146,166,184,203],"using":[148],"simulation":[149],"experiments.":[150],"Results":[151,180],"show":[152,181],"it":[154,174],"outperforms":[155],"at":[158],"any":[159],"scale.":[161],"Moreover,":[162],"implemented":[164],"optimizer":[170],"program":[171],"actual":[177],"can":[186,205],"achieve":[187],"57%":[188],"higher":[189],"than":[192],"generally":[196],"A/B":[198],"method.":[200],"Therefore,":[201],"optimize":[206],"fewer":[210],"samples.":[211],"The":[212],"has":[216],"broad":[217],"application":[218],"possibilities":[219],"applicable":[222],"not":[223],"only":[224],"but":[227],"also":[228],"manufactured":[230],"goods.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}