{"id":"https://openalex.org/W4296604446","doi":"https://doi.org/10.1145/3523227.3547381","title":"Personalizing Benefits Allocation Without Spending Money","display_name":"Personalizing Benefits Allocation Without Spending Money","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296604446","doi":"https://doi.org/10.1145/3523227.3547381"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3547381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547381","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/A5069739455","display_name":"Dmitri Goldenberg","orcid":"https://orcid.org/0000-0003-4617-2310"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dmitri Goldenberg","raw_affiliation_strings":["Booking.com, Israel"],"affiliations":[{"raw_affiliation_string":"Booking.com, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016918164","display_name":"Javier Albert","orcid":"https://orcid.org/0009-0005-8439-6464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Albert","raw_affiliation_strings":["Booking.com, Israel"],"affiliations":[{"raw_affiliation_string":"Booking.com, Israel","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069739455"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6063,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73386712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"464","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T12384","display_name":"Customer churn and segmentation","score":0.9907000064849854,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9725000262260437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.6206312775611877},{"id":"https://openalex.org/keywords/value-for-money","display_name":"Value for money","score":0.49533382058143616},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4904310405254364},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.484169065952301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46992027759552},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.4111134111881256},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3739698529243469},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.34635624289512634},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.22546523809432983},{"id":"https://openalex.org/keywords/public-economics","display_name":"Public economics","score":0.0750792920589447}],"concepts":[{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.6206312775611877},{"id":"https://openalex.org/C2992968740","wikidata":"https://www.wikidata.org/wiki/Q868257","display_name":"Value for money","level":2,"score":0.49533382058143616},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4904310405254364},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.484169065952301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46992027759552},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.4111134111881256},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3739698529243469},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.34635624289512634},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.22546523809432983},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.0750792920589447},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3547381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547381","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":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3049690396","https://openalex.org/W3106521244","https://openalex.org/W3134509974","https://openalex.org/W3173013516","https://openalex.org/W3197320891","https://openalex.org/W4212937970"],"related_works":["https://openalex.org/W2078956080","https://openalex.org/W2888824537","https://openalex.org/W2471037231","https://openalex.org/W2363742886","https://openalex.org/W2362495919","https://openalex.org/W3132716659","https://openalex.org/W2041929991","https://openalex.org/W2048169419","https://openalex.org/W1728623977","https://openalex.org/W2045007867"],"abstract_inverted_index":{"Modern":[0],"e-commerce":[1],"platforms":[2],"make":[3],"use":[4],"of":[5,89],"promotional":[6,102],"offers":[7],"such":[8,75],"as":[9,76],"discounts":[10,90],"and":[11,41,79,92,111],"rewards":[12],"to":[13,16,49,54,85,100,104,108],"encourage":[14],"customers":[15,110],"complete":[17],"purchases.":[18],"While":[19],"offering":[20,91],"the":[21,28,51,59,70,87,109],"promotions":[22,52],"has":[23],"a":[24,33,62],"great":[25],"effect":[26],"on":[27],"sales,":[29],"it":[30],"also":[31],"generates":[32],"monetary":[34],"loss.":[35],"By":[36],"utilizing":[37],"causal":[38],"machine":[39],"learning":[40],"optimization,":[42,81],"our":[43,113],"team":[44],"at":[45],"Booking.com":[46],"was":[47],"able":[48],"personalize":[50],"allocation":[53],"customers,":[55],"while":[56],"efficiently":[57],"controlling":[58],"spend":[60],"within":[61],"given":[63],"budget.":[64],"In":[65],"this":[66],"talk":[67],"we\u2019ll":[68],"share":[69],"personalized":[71],"promotion":[72],"assignment":[73],"techniques,":[74],"uplift":[77],"modeling":[78],"constrained":[80],"which":[82],"helped":[83],"us":[84,99],"predict":[86],"outcomes":[88],"allocate":[93],"them":[94],"efficiently.":[95],"This":[96],"solution":[97],"allowed":[98],"unlock":[101],"campaigns":[103],"bring":[105],"more":[106],"value":[107],"grow":[112],"business.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
