{"id":"https://openalex.org/W2002834872","doi":"https://doi.org/10.1145/2009916.2010002","title":"Fast context-aware recommendations with factorization machines","display_name":"Fast context-aware recommendations with factorization machines","publication_year":2011,"publication_date":"2011-07-24","ids":{"openalex":"https://openalex.org/W2002834872","doi":"https://doi.org/10.1145/2009916.2010002","mag":"2002834872"},"language":"en","primary_location":{"id":"doi:10.1145/2009916.2010002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2010002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","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/A5080877905","display_name":"Steffen Rendle","orcid":"https://orcid.org/0009-0004-6389-2509"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Steffen Rendle","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany","University of Konstanz, Konstanz , Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"University of Konstanz, Konstanz , Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019633739","display_name":"Zeno Gantner","orcid":null},"institutions":[{"id":"https://openalex.org/I155765044","display_name":"University of Hildesheim","ror":"https://ror.org/02f9det96","country_code":"DE","type":"education","lineage":["https://openalex.org/I155765044"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zeno Gantner","raw_affiliation_strings":["University of Hildesheim, Hildesheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Hildesheim, Hildesheim, Germany","institution_ids":["https://openalex.org/I155765044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082540454","display_name":"Christoph Freudenthaler","orcid":null},"institutions":[{"id":"https://openalex.org/I155765044","display_name":"University of Hildesheim","ror":"https://ror.org/02f9det96","country_code":"DE","type":"education","lineage":["https://openalex.org/I155765044"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Freudenthaler","raw_affiliation_strings":["University of Hildesheim, Hildesheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Hildesheim, Hildesheim, Germany","institution_ids":["https://openalex.org/I155765044"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039470755","display_name":"Lars Schmidt-Thieme","orcid":"https://orcid.org/0000-0001-5729-6023"},"institutions":[{"id":"https://openalex.org/I155765044","display_name":"University of Hildesheim","ror":"https://ror.org/02f9det96","country_code":"DE","type":"education","lineage":["https://openalex.org/I155765044"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars Schmidt-Thieme","raw_affiliation_strings":["University of Hildesheim, Hildesheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Hildesheim, Hildesheim, Germany","institution_ids":["https://openalex.org/I155765044"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080877905"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":45.8304,"has_fulltext":false,"cited_by_count":590,"citation_normalized_percentile":{"value":0.99792802,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"635","last_page":"644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9932000041007996,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9451000094413757,"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/generality","display_name":"Generality","score":0.8560053110122681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7983660101890564},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7892532348632812},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7301968336105347},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6798098683357239},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6217044591903687},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6044447422027588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4710884988307953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4623163342475891},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4522458016872406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17845004796981812},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.0700075626373291}],"concepts":[{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.8560053110122681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983660101890564},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7892532348632812},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7301968336105347},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6798098683357239},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6217044591903687},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6044447422027588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4710884988307953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4623163342475891},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4522458016872406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17845004796981812},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0700075626373291},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2009916.2010002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2010002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.7670","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.7670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ismll.uni-hildesheim.de/pub/pdfs/Rendle_et_al2011-Context_Aware.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1523915939","https://openalex.org/W1937641174","https://openalex.org/W1963826206","https://openalex.org/W1988139567","https://openalex.org/W1988164944","https://openalex.org/W1994389483","https://openalex.org/W2042281163","https://openalex.org/W2054553473","https://openalex.org/W2063468305","https://openalex.org/W2080320419","https://openalex.org/W2082404436","https://openalex.org/W2089349245","https://openalex.org/W2102937240","https://openalex.org/W2112430581","https://openalex.org/W2117450489","https://openalex.org/W2122090912","https://openalex.org/W2132708887","https://openalex.org/W2143666245","https://openalex.org/W2172249709","https://openalex.org/W2295739661","https://openalex.org/W2595697910","https://openalex.org/W6677671969"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2032776242"],"abstract_inverted_index":{"The":[0],"situation":[1],"in":[2,35,62,70],"which":[3,100],"a":[4,91],"choice":[5],"is":[6,8,40,60,90],"made":[7],"an":[9],"important":[10],"information":[11,19],"for":[12,31,81],"recommender":[13,98],"systems.":[14],"Context-aware":[15],"recommenders":[16],"take":[17],"this":[18,51],"into":[20],"account":[21],"to":[22],"make":[23],"predictions.":[24],"So":[25],"far,":[26],"the":[27,45,63,71,74,86,102],"best":[28],"performing":[29],"method":[30,52],"context-aware":[32,105],"rating":[33],"prediction":[34],"terms":[36],"of":[37,65,73,94,104],"predictive":[38],"accuracy":[39],"Multiverse":[41],"Recommendation":[42],"based":[43],"on":[44],"Tucker":[46],"tensor":[47],"factorization":[48,75],"model.":[49],"However":[50],"has":[53],"two":[54],"drawbacks:":[55],"(1)":[56],"its":[57],"model":[58],"complexity":[59],"exponential":[61],"number":[64],"context":[66,83],"variables":[67],"and":[68,76],"polynomial":[69],"size":[72],"(2)":[77],"it":[78],"only":[79],"works":[80],"categorical":[82],"variables.":[84],"On":[85],"other":[87],"hand":[88],"there":[89],"large":[92],"variety":[93],"fast":[95],"but":[96],"specialized":[97],"methods":[99],"lack":[101],"generality":[103],"methods.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":45},{"year":2021,"cited_by_count":62},{"year":2020,"cited_by_count":63},{"year":2019,"cited_by_count":53},{"year":2018,"cited_by_count":48},{"year":2017,"cited_by_count":53},{"year":2016,"cited_by_count":60},{"year":2015,"cited_by_count":35},{"year":2014,"cited_by_count":30},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":12}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}