{"id":"https://openalex.org/W4212897547","doi":"https://doi.org/10.1109/tsmc.2022.3148675","title":"Handling Dynamic User Preferences Using Integrated Point and Distribution Estimations in Collaborative Filtering","display_name":"Handling Dynamic User Preferences Using Integrated Point and Distribution Estimations in Collaborative Filtering","publication_year":2022,"publication_date":"2022-02-14","ids":{"openalex":"https://openalex.org/W4212897547","doi":"https://doi.org/10.1109/tsmc.2022.3148675"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2022.3148675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3148675","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: 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/A5006820981","display_name":"Abinash Pujahari","orcid":"https://orcid.org/0000-0002-5393-3782"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abinash Pujahari","raw_affiliation_strings":["Department of Computer Science Engineering, Bennett University, Greater Noida, India"],"raw_orcid":"https://orcid.org/0000-0002-5393-3782","affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013636671","display_name":"Dilip Singh Sisodia","orcid":"https://orcid.org/0000-0001-9845-290X"},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dilip Singh Sisodia","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India"],"raw_orcid":"https://orcid.org/0000-0001-9845-290X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India","institution_ids":["https://openalex.org/I38335241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0546,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96351418,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"10","first_page":"6639","last_page":"6651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9751999974250793,"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"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9024999737739563,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.7664682865142822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515534162521362},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7127342224121094},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.5082411170005798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4792778193950653},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4679765999317169},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46139049530029297},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.45329731702804565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45033931732177734},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4494662582874298},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4395114779472351},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4208527207374573}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7664682865142822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515534162521362},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7127342224121094},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.5082411170005798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4792778193950653},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4679765999317169},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46139049530029297},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45329731702804565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45033931732177734},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4494662582874298},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4395114779472351},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4208527207374573},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2022.3148675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3148675","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W1500188831","https://openalex.org/W1718512272","https://openalex.org/W1864134408","https://openalex.org/W1967229875","https://openalex.org/W1976228243","https://openalex.org/W1994389483","https://openalex.org/W2009086942","https://openalex.org/W2024549284","https://openalex.org/W2025605741","https://openalex.org/W2030808931","https://openalex.org/W2033775920","https://openalex.org/W2042775700","https://openalex.org/W2049633694","https://openalex.org/W2049736842","https://openalex.org/W2065296176","https://openalex.org/W2080320419","https://openalex.org/W2108630796","https://openalex.org/W2113651538","https://openalex.org/W2116206254","https://openalex.org/W2125838338","https://openalex.org/W2134584261","https://openalex.org/W2140310134","https://openalex.org/W2145360759","https://openalex.org/W2155260227","https://openalex.org/W2162995740","https://openalex.org/W2206707519","https://openalex.org/W2219888463","https://openalex.org/W2231488453","https://openalex.org/W2390938437","https://openalex.org/W2474765392","https://openalex.org/W2533779839","https://openalex.org/W2551968180","https://openalex.org/W2583674722","https://openalex.org/W2730085903","https://openalex.org/W2767781968","https://openalex.org/W2899457523","https://openalex.org/W2914231700","https://openalex.org/W2916474192","https://openalex.org/W2923288043","https://openalex.org/W2945034577","https://openalex.org/W2967005398","https://openalex.org/W3014073192","https://openalex.org/W3038719422","https://openalex.org/W3101707147","https://openalex.org/W3122868618","https://openalex.org/W3144942271","https://openalex.org/W3147409906","https://openalex.org/W4249267926","https://openalex.org/W6637618339","https://openalex.org/W6677106874","https://openalex.org/W6680830989","https://openalex.org/W6684391152","https://openalex.org/W6687895554","https://openalex.org/W6729836131","https://openalex.org/W6792523761"],"related_works":["https://openalex.org/W3177075132","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"],"abstract_inverted_index":{"Change":[0],"in":[1,10,62,160],"users\u2019":[2,63,70,128,163],"preferences":[3],"over":[4,72,131],"time":[5],"is":[6,111,125],"a":[7],"challenging":[8],"issue":[9],"collaborative":[11,90],"filtering":[12,91],"models.":[13,27,151],"Recent":[14],"temporal":[15,21,33,149],"recommender":[16],"systems":[17],"(RSs)":[18],"use":[19],"latent":[20,25,32,66],"features":[22,34],"or":[23],"probabilistic":[24],"transition":[26],"The":[28,65,105,152],"models":[29,68,92],"designed":[30],"using":[31,75,93],"remain":[35],"confined":[36],"to":[37,60,101,113,138],"point":[38,95,108],"estimation":[39,77,98,109],"only,":[40],"i.e.,":[41],"considering":[42],"single":[43],"predicted":[44],"values":[45],"(e.g.,":[46],"rating)":[47],"and":[48,96,117,140],"completely":[49],"ignore":[50,79],"the":[51,121,142,156],"likelihood":[52],"of":[53],"other":[54],"possible":[55],"items":[56],"being":[57],"generated":[58],"due":[59],"change":[61],"preferences.":[64,164],"transitive":[67],"represent":[69],"preference":[71,129],"different":[73],"states":[74],"distribution":[76,97,130],"but":[78],"user\u2013item":[80,115],"features.":[81],"This":[82],"article":[83],"proposes":[84],"an":[85],"integrated":[86],"approach":[87],"for":[88,127],"designing":[89],"both":[94],"techniques":[99],"together":[100],"address":[102],"this":[103],"issue.":[104],"matrix":[106],"factorization-based":[107],"strategy":[110],"applied":[112],"integrate":[114],"correlations":[116],"feature":[118],"information,":[119],"whereas":[120],"hidden":[122],"Markov":[123],"model":[124,154],"used":[126,137],"time.":[132],"Three":[133],"benchmark":[134],"datasets":[135],"were":[136],"evaluate":[139],"compare":[141],"proposed":[143,153],"model\u2019s":[144],"performance":[145],"with":[146],"related":[147],"state-of-the-art":[148],"RS":[150],"makes":[155],"system":[157],"more":[158],"robust":[159],"handling":[161],"dynamic":[162]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
