{"id":"https://openalex.org/W3088409481","doi":"https://doi.org/10.1145/3383313.3418484","title":"Learning Representations of Hierarchical Slates in Collaborative Filtering","display_name":"Learning Representations of Hierarchical Slates in Collaborative Filtering","publication_year":2020,"publication_date":"2020-09-19","ids":{"openalex":"https://openalex.org/W3088409481","doi":"https://doi.org/10.1145/3383313.3418484","mag":"3088409481"},"language":"en","primary_location":{"id":"doi:10.1145/3383313.3418484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3418484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth 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/A5013970194","display_name":"Ehtsham Elahi","orcid":"https://orcid.org/0009-0000-3651-6197"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ehtsham Elahi","raw_affiliation_strings":["Netflix Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netflix Inc., USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062342289","display_name":"Ashok Chandrashekar","orcid":"https://orcid.org/0009-0007-1914-8354"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashok Chandrashekar","raw_affiliation_strings":["Netflix Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netflix Inc., USA","institution_ids":["https://openalex.org/I869089601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I869089601"],"apc_list":null,"apc_paid":null,"fwci":1.9498,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8980115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"703","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9840999841690063,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/slates","display_name":"SLATES","score":0.9635518789291382},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7577567100524902},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7340919971466064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213254570960999},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6054370999336243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5334359407424927},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4771522879600525},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3921831548213959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34373554587364197},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33823421597480774},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09985125064849854}],"concepts":[{"id":"https://openalex.org/C2780103627","wikidata":"https://www.wikidata.org/wiki/Q7390747","display_name":"SLATES","level":2,"score":0.9635518789291382},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7577567100524902},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7340919971466064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213254570960999},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6054370999336243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5334359407424927},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4771522879600525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3921831548213959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34373554587364197},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33823421597480774},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09985125064849854},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383313.3418484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3418484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.44999998807907104,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1506859583","https://openalex.org/W1983989471","https://openalex.org/W2101409192","https://openalex.org/W2406454855","https://openalex.org/W2768348081","https://openalex.org/W2972675851","https://openalex.org/W2984639673","https://openalex.org/W2988272967","https://openalex.org/W3100318323","https://openalex.org/W4231990774","https://openalex.org/W4293653493","https://openalex.org/W4299536598","https://openalex.org/W4300011764","https://openalex.org/W6631315095","https://openalex.org/W6783723219"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2402445420","https://openalex.org/W1773619406","https://openalex.org/W2377968345","https://openalex.org/W2075040002","https://openalex.org/W2974025129","https://openalex.org/W2356507104","https://openalex.org/W2573253449","https://openalex.org/W2126026531","https://openalex.org/W2514833639"],"abstract_inverted_index":{"We":[0,42,102],"are":[1],"interested":[2],"in":[3,25,83,93,145],"building":[4],"collaborative":[5],"filtering":[6],"models":[7],"for":[8,117],"recommendation":[9,110],"systems":[10,111],"where":[11],"users":[12],"interact":[13],"with":[14],"slates":[15,21],"instead":[16],"of":[17,30,39,54,58,95,98],"individual":[18],"items.":[19],"These":[20],"can":[22,70,79],"be":[23,71,80],"hierarchical":[24,64,91],"nature.":[26],"The":[27],"central":[28],"idea":[29],"our":[31,104,143],"approach":[32,144],"is":[33],"to":[34,47,87],"learn":[35,48],"low":[36],"dimensional":[37],"embeddings":[38,50,138],"these":[40,49],"slates.":[41],"present":[43],"a":[44,74,84],"novel":[45],"way":[46],"by":[51,131,136,142],"making":[52],"use":[53],"the":[55,59,63,96,114,118,128,132],"(unknown)":[56],"statistics":[57],"underlying":[60],"distribution":[61],"generating":[62],"data.":[65],"Our":[66],"representation":[67],"learning":[68],"algorithm":[69],"viewed":[72],"as":[73,139],"simple":[75],"composition":[76],"rule":[77],"that":[78,123],"applied":[81],"recursively":[82],"bottom-up":[85],"fashion":[86],"represent":[88],"arbitrarily":[89],"complex":[90],"structures":[92],"terms":[94],"representations":[97],"its":[99],"constituent":[100],"components.":[101],"demonstrate":[103],"ideas":[105],"on":[106],"two":[107],"real":[108],"world":[109],"datasets":[112],"including":[113],"one":[115],"used":[116],"RecSys":[119],"2019":[120],"challenge.":[121],"For":[122],"dataset,":[124],"we":[125],"improve":[126],"upon":[127],"performance":[129],"achieved":[130],"winning":[133],"team\u2019s":[134],"model":[135],"incorporating":[137],"features":[140],"generated":[141],"their":[146],"solution.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
