{"id":"https://openalex.org/W2494566063","doi":"https://doi.org/10.1145/3038912.3052627","title":"Streaming Recommender Systems","display_name":"Streaming Recommender Systems","publication_year":2017,"publication_date":"2017-04-03","ids":{"openalex":"https://openalex.org/W2494566063","doi":"https://doi.org/10.1145/3038912.3052627","mag":"2494566063"},"language":"en","primary_location":{"id":"doi:10.1145/3038912.3052627","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052627","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":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3038912.3052627","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112248869","display_name":"Shiyu Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiyu Chang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054482111","display_name":"Dawei Yin","orcid":"https://orcid.org/0000-0002-8846-2001"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yin","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029392006","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["Huawei Research America, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Huawei Research America, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004778663","display_name":"Mark Hasegawa\u2010Johnson","orcid":"https://orcid.org/0000-0002-5631-2893"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark A. Hasegawa-Johnson","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas S. Huang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5112248869"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":33.02920526,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.99592916,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"389"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8719234466552734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7866698503494263},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5288912653923035},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5223116278648376},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46558159589767456},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4549604654312134},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4047339856624603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.309889018535614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2765149474143982}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8719234466552734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866698503494263},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5288912653923035},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5223116278648376},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46558159589767456},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4549604654312134},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4047339856624603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.309889018535614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2765149474143982},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3038912.3052627","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052627","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":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3038912.3052627","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052627","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":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5299999713897705,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1556257772","https://openalex.org/W1788180225","https://openalex.org/W1973616272","https://openalex.org/W1979266491","https://openalex.org/W1990846291","https://openalex.org/W1994389483","https://openalex.org/W2000308636","https://openalex.org/W2001575213","https://openalex.org/W2034466462","https://openalex.org/W2042775700","https://openalex.org/W2057763140","https://openalex.org/W2057991616","https://openalex.org/W2061737399","https://openalex.org/W2091780923","https://openalex.org/W2094524282","https://openalex.org/W2104391728","https://openalex.org/W2118866100","https://openalex.org/W2123427850","https://openalex.org/W2142057089","https://openalex.org/W2144685566","https://openalex.org/W2146456494","https://openalex.org/W2150713082","https://openalex.org/W2247675004","https://openalex.org/W2295739661","https://openalex.org/W2368006773","https://openalex.org/W2532227130","https://openalex.org/W2605327373","https://openalex.org/W6633397165","https://openalex.org/W6638233953","https://openalex.org/W6680451568","https://openalex.org/W7037411764"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672"],"abstract_inverted_index":{"The":[0],"increasing":[1],"popularity":[2],"of":[3,51,72,75,80,83,112],"real-world":[4,107],"recommender":[5,19,42],"systems":[6,20],"produces":[7],"data":[8],"continuously":[9],"and":[10,12,34,77,79],"rapidly,":[11],"it":[13],"becomes":[14],"more":[15],"realistic":[16],"to":[17,40],"study":[18],"under":[21],"streaming":[22],"scenarios.":[23],"Data":[24],"streams":[25],"present":[26],"distinct":[27],"properties":[28],"such":[29],"as":[30],"temporally":[31],"ordered,":[32],"continuous":[33],"high-velocity,":[35],"which":[36,65,96],"poses":[37],"tremendous":[38],"challenges":[39],"traditional":[41],"systems.":[43],"In":[44,56],"this":[45],"paper,":[46],"we":[47,58],"investigate":[48],"the":[49,73,81,110],"problem":[50],"recommendation":[52],"with":[53],"stream":[54],"inputs.":[55],"particular,":[57],"provide":[59],"a":[60],"principled":[61],"framework":[62],"termed":[63],"sRec,":[64],"provides":[66],"explicit":[67],"continuous-time":[68],"random":[69],"process":[70],"models":[71],"creation":[74],"users":[76],"topics,":[78],"evolution":[82],"their":[84],"interests.":[85],"A":[86],"variational":[87],"Bayesian":[88],"approach":[89],"called":[90],"recursive":[91],"meanfield":[92],"approximation":[93],"is":[94],"proposed,":[95],"permits":[97],"computationally":[98],"efficient":[99],"instantaneous":[100],"on-line":[101],"inference.":[102],"Experimental":[103],"results":[104],"on":[105],"several":[106],"datasets":[108],"demonstrate":[109],"advantages":[111],"our":[113],"sRec":[114],"over":[115],"other":[116],"state-of-the-arts.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-02-22T07:55:48.035378","created_date":"2025-10-10T00:00:00"}