{"id":"https://openalex.org/W2168570887","doi":"https://doi.org/10.1142/s0218213015400096","title":"Learning Relational User Profiles and Recommending Items as Their Preferences Change","display_name":"Learning Relational User Profiles and Recommending Items as Their Preferences Change","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W2168570887","doi":"https://doi.org/10.1142/s0218213015400096","mag":"2168570887"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213015400096","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213015400096","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/A5109047378","display_name":"Zaigham Faraz Siddiqui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaigham Faraz Siddiqui","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021558322","display_name":"Eleftherios Tiakas","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eleftherios Tiakas","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004690613","display_name":"Panagiotis Symeonidis","orcid":"https://orcid.org/0000-0003-0685-3568"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Symeonidis","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083456364","display_name":"Myra Spiliopoulou","orcid":"https://orcid.org/0000-0002-1828-5759"},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Myra Spiliopoulou","raw_affiliation_strings":["University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210138551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010058559","display_name":"Yannis Manolopoulos","orcid":"https://orcid.org/0000-0003-4026-4329"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Manolopoulos","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2679,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9380759,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":"02","first_page":"1540009","last_page":"1540009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9966999888420105,"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/T12384","display_name":"Customer churn and segmentation","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.907060980796814},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6700280904769897},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5696974396705627},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5603572130203247},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5464755892753601},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5226404666900635},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5154488682746887},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5044163465499878},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.450944185256958},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4222884774208069},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4185481369495392},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3998230993747711},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3693777322769165},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3611002564430237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1311904788017273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.907060980796814},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6700280904769897},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5696974396705627},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5603572130203247},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5464755892753601},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5226404666900635},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5154488682746887},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5044163465499878},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.450944185256958},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4222884774208069},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4185481369495392},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3998230993747711},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3693777322769165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3611002564430237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1311904788017273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1142/s0218213015400096","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213015400096","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.7423","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.7423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://delab.csd.auth.gr/papers/IJAIT2015stssm.pdf","raw_type":"text"},{"id":"pmh:oai:alma.39UBZ_INST:11235320250001241","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0218213015400096","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"Open Research (University of Surrey)","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:unibz.it:11235320250001241","is_oa":false,"landing_page_url":"https://bia.unibz.it/esploro/outputs/journalArticle/Learning-relational-user-profiles-and-recommending/991005773213901241","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"Open Research (University of Surrey)","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1488971269","https://openalex.org/W1698550797","https://openalex.org/W1971040550","https://openalex.org/W2001575213","https://openalex.org/W2042281163","https://openalex.org/W2043403353","https://openalex.org/W2048567639","https://openalex.org/W2057763140","https://openalex.org/W2057991616","https://openalex.org/W2084689094","https://openalex.org/W2113273124","https://openalex.org/W2117082171","https://openalex.org/W2127480961","https://openalex.org/W2141033972","https://openalex.org/W2142144955","https://openalex.org/W2146456494","https://openalex.org/W2146938438","https://openalex.org/W2147654806","https://openalex.org/W2155106456"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2076210137","https://openalex.org/W2893089803","https://openalex.org/W2576320324","https://openalex.org/W2161485269","https://openalex.org/W566466817","https://openalex.org/W4205988613","https://openalex.org/W7602594","https://openalex.org/W1600330351","https://openalex.org/W1490363299"],"abstract_inverted_index":{"Over":[0],"the":[1,14,26,30,43,48,67,83,88,118,127],"last":[2],"decade":[3],"a":[4,133],"vast":[5],"number":[6],"of":[7,32,59,85,90,129],"businesses":[8],"have":[9],"developed":[10],"online":[11,17],"e-shops":[12],"in":[13,87],"web.":[15],"These":[16],"stores":[18],"are":[19,47,76],"supported":[20],"by":[21],"sophisticated":[22],"systems":[23],"that":[24,39],"manage":[25],"products":[27],"and":[28,70,144],"record":[29],"activity":[31],"customers.":[33],"There":[34],"exist":[35],"many":[36],"research":[37],"works":[38,61],"strive":[40],"to":[41,51,113,117],"answer":[42],"question":[44],"\u201cwhat":[45],"items":[46,116],"customers":[49,99,119],"going":[50],"like\u201d":[52],"given":[53],"their":[54,102,122],"historical":[55,103],"profiles.":[56],"However,":[57],"most":[58],"these":[60],"do":[62],"not":[63],"take":[64],"into":[65,105],"account":[66],"time":[68],"dimension":[69],"cannot":[71],"respond":[72],"efficiently":[73],"when":[74],"data":[75,104,135],"huge.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,131],"study":[82],"problem":[84],"recommendations":[86],"context":[89],"multi-relational":[91,134],"stream":[92],"mining.":[93],"Our":[94],"algorithm":[95],"\u201cxStreams\u201d":[96],"first":[97],"separates":[98],"based":[100,120],"on":[101,121,142],"clusters.":[106],"It":[107],"then":[108],"employs":[109],"collaborative":[110],"filtering":[111],"(CF)":[112],"recommend":[114],"new":[115],"group":[123],"similarity.":[124],"To":[125],"evaluate":[126,140],"working":[128],"xStreams,":[130],"use":[132],"generator":[136],"for":[137],"streams.":[138],"We":[139],"xStreams":[141],"real":[143],"synthetic":[145],"datasets.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}