{"id":"https://openalex.org/W4296604389","doi":"https://doi.org/10.1145/3523227.3547385","title":"Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings","display_name":"Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296604389","doi":"https://doi.org/10.1145/3523227.3547385"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3547385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","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/A5081994712","display_name":"moran haham","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"moran haham","raw_affiliation_strings":["Outbrain, Israel"],"affiliations":[{"raw_affiliation_string":"Outbrain, Israel","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081994712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16045179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"476","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/cold-start","display_name":"Cold start (automotive)","score":0.9481536149978638},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8421224355697632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7630226016044617},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6854199767112732},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5701516270637512},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.521148681640625},{"id":"https://openalex.org/keywords/start-up","display_name":"Start up","score":0.41940176486968994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3137636184692383},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10737273097038269}],"concepts":[{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.9481536149978638},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8421224355697632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630226016044617},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6854199767112732},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5701516270637512},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.521148681640625},{"id":"https://openalex.org/C2984743219","wikidata":"https://www.wikidata.org/wiki/Q129238","display_name":"Start up","level":2,"score":0.41940176486968994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3137636184692383},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10737273097038269},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C178550888","wikidata":"https://www.wikidata.org/wiki/Q2043282","display_name":"Business administration","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3547385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1602136775","https://openalex.org/W2750237488","https://openalex.org/W2765564115","https://openalex.org/W3035264853","https://openalex.org/W3100945072","https://openalex.org/W3139313365"],"related_works":["https://openalex.org/W4313327643","https://openalex.org/W2497939785","https://openalex.org/W2968745142","https://openalex.org/W2809363009","https://openalex.org/W2061572266","https://openalex.org/W2323861843","https://openalex.org/W2751657874","https://openalex.org/W4313412266","https://openalex.org/W3198788225","https://openalex.org/W2909127866"],"abstract_inverted_index":{"In":[0,34,112],"recommender":[1,30,67,126],"systems,":[2,38],"cold-start":[3,21,44,59,75,94,123,138],"issues":[4],"are":[5,13],"situations":[6,22],"where":[7],"no":[8],"previous":[9],"events":[10],"(e.g.,":[11],"ratings),":[12],"known":[14],"for":[15,54,134,137],"certain":[16],"users":[17],"or":[18],"items.":[19],"Mitigating":[20],"is":[23,46],"a":[24,118,135],"fundamental":[25],"problem":[26],"in":[27,65,125],"almost":[28],"any":[29],"system":[31],"[3,":[32],"5].":[33],"real-life,":[35],"large-scale":[36],"production":[37],"the":[39,43,89,122,132,153],"challenge":[40,124],"of":[41,91],"optimizing":[42],"strategy":[45],"even":[47],"greater.":[48],"We":[49],"present":[50],"an":[51,106],"end-to-end":[52],"framework":[53,64,87,136,154],"evaluating":[55],"and":[56,83],"comparing":[57],"different":[58],"strategies.":[60],"By":[61],"applying":[62],"this":[63,113],"Outbrain\u2019s":[66],"system,":[68],"we":[69,129,141,151],"were":[70],"able":[71],"to":[72,121,155],"reduce":[73,156],"our":[74,157],"costs":[76],"by":[77,147,159],"half,":[78],"while":[79],"supporting":[80],"both":[81],"offline":[82,101],"online":[84,109],"settings.":[85],"Our":[86],"solves":[88],"pain":[90],"benchmarking":[92],"numerous":[93],"techniques":[95],"using":[96],"surrogate":[97],"accuracy":[98],"metrics":[99],"on":[100],"datasets":[102],"-":[103,145,149],"coupled":[104],"with":[105,117],"extensive,":[107],"cost-controlled":[108],"A/B":[110],"test.":[111],"abstract,":[114],"We\u2019ll":[115],"start":[116],"short":[119],"introduction":[120],"systems.":[127],"Next,":[128],"will":[130,142],"explain":[131],"motivation":[133],"techniques.":[139],"Lastly,":[140],"then":[143],"describe":[144],"step":[146,148],"how":[150],"used":[152],"exploration":[158],"more":[160],"than":[161],"50%.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}