{"id":"https://openalex.org/W2912745432","doi":"https://doi.org/10.1145/3308558.3313710","title":"Embarrassingly Shallow Autoencoders for Sparse Data","display_name":"Embarrassingly Shallow Autoencoders for Sparse Data","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2912745432","doi":"https://doi.org/10.1145/3308558.3313710","mag":"2912745432"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313710","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313710","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313710","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070327072","display_name":"Harald Steck","orcid":"https://orcid.org/0009-0007-7448-8335"},"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":true,"raw_author_name":"Harald Steck","raw_affiliation_strings":["Netflix Los Gatos, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netflix Los Gatos, California","institution_ids":["https://openalex.org/I869089601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070327072"],"corresponding_institution_ids":["https://openalex.org/I869089601"],"apc_list":null,"apc_paid":null,"fwci":34.2052,"has_fulltext":false,"cited_by_count":266,"citation_normalized_percentile":{"value":0.99696175,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3251","last_page":"3257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579630613327026},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.6745681762695312},{"id":"https://openalex.org/keywords/embarrassingly-parallel","display_name":"Embarrassingly parallel","score":0.6652228236198425},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6053348183631897},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5979646444320679},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5963582992553711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4925716519355774},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4798109829425812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4606248736381531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3958088457584381},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22319760918617249},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.06964027881622314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579630613327026},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6745681762695312},{"id":"https://openalex.org/C126909462","wikidata":"https://www.wikidata.org/wiki/Q5369501","display_name":"Embarrassingly parallel","level":3,"score":0.6652228236198425},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6053348183631897},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5979646444320679},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5963582992553711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4925716519355774},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4798109829425812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4606248736381531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3958088457584381},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22319760918617249},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.06964027881622314},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3308558.3313710","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313710","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.03375","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.03375","pdf_url":"https://arxiv.org/pdf/1905.03375","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313710","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313710","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W398859631","https://openalex.org/W1556219185","https://openalex.org/W1720514416","https://openalex.org/W1987431925","https://openalex.org/W1999973986","https://openalex.org/W2010824638","https://openalex.org/W2027829212","https://openalex.org/W2030484290","https://openalex.org/W2055945388","https://openalex.org/W2076037741","https://openalex.org/W2101409192","https://openalex.org/W2113479237","https://openalex.org/W2123499997","https://openalex.org/W2124187902","https://openalex.org/W2125473483","https://openalex.org/W2132555912","https://openalex.org/W2133396774","https://openalex.org/W2151128232","https://openalex.org/W2219888463","https://openalex.org/W2253995343","https://openalex.org/W2262817822","https://openalex.org/W2341535507","https://openalex.org/W2409498980","https://openalex.org/W2463645429","https://openalex.org/W2475334473","https://openalex.org/W2605350416","https://openalex.org/W2626454364","https://openalex.org/W2943408691","https://openalex.org/W2963085847","https://openalex.org/W2964273061","https://openalex.org/W3098834468","https://openalex.org/W3099466270","https://openalex.org/W3102619277","https://openalex.org/W4388323202"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Combining":[0],"simple":[1,43],"elements":[2],"from":[3],"the":[4,37,61],"literature,":[5],"we":[6],"define":[7],"a":[8,32],"linear":[9],"model":[10,44],"that":[11,27],"is":[12],"geared":[13],"toward":[14],"sparse":[15],"data,":[16],"in":[17,66],"particular":[18],"implicit":[19],"feedback":[20],"data":[21],"for":[22],"recommender":[23],"systems.":[24],"We":[25],"show":[26],"its":[28],"training":[29],"objective":[30],"has":[31],"closed-form":[33],"solution,":[34],"and":[35],"discuss":[36],"resulting":[38],"conceptual":[39],"insights.":[40],"Surprisingly,":[41],"this":[42],"achieves":[45],"better":[46],"ranking":[47],"accuracy":[48],"than":[49],"various":[50],"state-of-the-art":[51],"collaborative-filtering":[52],"approaches,":[53],"including":[54],"deep":[55],"non-linear":[56],"models,":[57],"on":[58],"most":[59],"of":[60],"publicly":[62],"available":[63],"data-sets":[64],"used":[65],"our":[67],"experiments.":[68]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":61},{"year":2024,"cited_by_count":57},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":37},{"year":2021,"cited_by_count":42},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}
