{"id":"https://openalex.org/W905129149","doi":"https://doi.org/10.1007/s10115-015-0863-2","title":"Speeding up ALS learning via approximate methods for context-aware recommendations","display_name":"Speeding up ALS learning via approximate methods for context-aware recommendations","publication_year":2015,"publication_date":"2015-07-13","ids":{"openalex":"https://openalex.org/W905129149","doi":"https://doi.org/10.1007/s10115-015-0863-2","mag":"905129149"},"language":"nl","primary_location":{"id":"doi:10.1007/s10115-015-0863-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-015-0863-2","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-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/A5012061499","display_name":"Bal\u00e1zs Hidasi","orcid":"https://orcid.org/0009-0004-4259-8781"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Bal\u00e1zs Hidasi","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary","Gravity R&D, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Gravity R&D, Budapest, Hungary","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070226189","display_name":"Domonkos Tikk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Domonkos Tikk","raw_affiliation_strings":["Gravity R&D, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gravity R&D, Budapest, Hungary","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012061499"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":0.4063,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6056338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"47","issue":"1","first_page":"131","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9955000281333923,"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":0.9700000286102295,"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":0.760799765586853},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7049397230148315},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5379263758659363},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5370805263519287},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5238614082336426},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4496708810329437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4032253324985504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3766988217830658},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3259025812149048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760799765586853},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7049397230148315},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5379263758659363},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5370805263519287},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5238614082336426},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4496708810329437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4032253324985504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3766988217830658},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3259025812149048},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-015-0863-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-015-0863-2","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1649293523","https://openalex.org/W1690919088","https://openalex.org/W1921081011","https://openalex.org/W1970088530","https://openalex.org/W1971925511","https://openalex.org/W1973616272","https://openalex.org/W1988164944","https://openalex.org/W1999956270","https://openalex.org/W2002834872","https://openalex.org/W2011152193","https://openalex.org/W2013912476","https://openalex.org/W2014320354","https://openalex.org/W2035622113","https://openalex.org/W2044758663","https://openalex.org/W2048426792","https://openalex.org/W2063468305","https://openalex.org/W2080371694","https://openalex.org/W2089349245","https://openalex.org/W2089885143","https://openalex.org/W2094286023","https://openalex.org/W2101409192","https://openalex.org/W2102744952","https://openalex.org/W2102937240","https://openalex.org/W2112430581","https://openalex.org/W2117701655","https://openalex.org/W2124187902","https://openalex.org/W2130868038","https://openalex.org/W2140310134","https://openalex.org/W2165949563","https://openalex.org/W2177816635","https://openalex.org/W2187420087","https://openalex.org/W2231488453","https://openalex.org/W2313407065","https://openalex.org/W2316564661","https://openalex.org/W2492959872"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W2748922771","https://openalex.org/W2011430815","https://openalex.org/W4321606653"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}