{"id":"https://openalex.org/W4391477199","doi":"https://doi.org/10.1007/s11063-024-11438-x","title":"A Robust Sequential Recommendation Model Based on Multiple Feedback Behavior Denoising and Trusted Neighbors","display_name":"A Robust Sequential Recommendation Model Based on Multiple Feedback Behavior Denoising and Trusted Neighbors","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4391477199","doi":"https://doi.org/10.1007/s11063-024-11438-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11438-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11438-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11438-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11438-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075041075","display_name":"Hongyun Cai","orcid":"https://orcid.org/0000-0003-1175-429X"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyun Cai","raw_affiliation_strings":["Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","School of Cyber Security and Computer, Hebei University, Baoding, 071000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"School of Cyber Security and Computer, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050511487","display_name":"Jie Meng","orcid":"https://orcid.org/0000-0002-4174-8870"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Meng","raw_affiliation_strings":["Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","School of Cyber Security and Computer, Hebei University, Baoding, 071000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"School of Cyber Security and Computer, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043818423","display_name":"Shilin Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Yuan","raw_affiliation_strings":["Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","School of Cyber Security and Computer, Hebei University, Baoding, 071000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"School of Cyber Security and Computer, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027218124","display_name":"Jichao Ren","orcid":"https://orcid.org/0000-0002-3562-7538"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichao Ren","raw_affiliation_strings":["Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","School of Cyber Security and Computer, Hebei University, Baoding, 071000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory on High Trusted Information System in Hebei Province, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"School of Cyber Security and Computer, Hebei University, Baoding, 071000, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050511487"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":3.1979,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92379944,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"56","issue":"1","first_page":null,"last_page":null},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9559000134468079,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computational-intelligence","display_name":"Computational intelligence","score":0.6833796501159668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.653548538684845},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5176806449890137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4027467370033264}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6833796501159668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.653548538684845},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5176806449890137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4027467370033264}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11438-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11438-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11438-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11438-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11438-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11438-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1192971267","display_name":null,"funder_award_id":"F2020201023","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G5773785533","display_name":null,"funder_award_id":"ZD2022105","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"},{"id":"https://openalex.org/G6378122800","display_name":null,"funder_award_id":"F2020201023","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"},{"id":"https://openalex.org/G7297183958","display_name":null,"funder_award_id":"521100221089","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"}],"funders":[{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324851","display_name":"Hebei University","ror":"https://ror.org/01p884a79"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391477199.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1980378180","https://openalex.org/W2124074612","https://openalex.org/W2235277763","https://openalex.org/W2244405900","https://openalex.org/W2475334473","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2809307135","https://openalex.org/W2898085636","https://openalex.org/W2951431594","https://openalex.org/W2962745591","https://openalex.org/W2963408164","https://openalex.org/W2987999026","https://openalex.org/W2997261254","https://openalex.org/W2997617192","https://openalex.org/W3035040493","https://openalex.org/W3035143414","https://openalex.org/W3035289325","https://openalex.org/W3035313290","https://openalex.org/W3035589558","https://openalex.org/W3045200674","https://openalex.org/W3047004701","https://openalex.org/W3085112692","https://openalex.org/W3088257568","https://openalex.org/W3093002391","https://openalex.org/W3093601757","https://openalex.org/W3098638686","https://openalex.org/W3101704389","https://openalex.org/W3121503173","https://openalex.org/W3128744564","https://openalex.org/W3133265085","https://openalex.org/W3153535036","https://openalex.org/W3185693672","https://openalex.org/W3187977559","https://openalex.org/W3208448516","https://openalex.org/W3210628790","https://openalex.org/W4205518603","https://openalex.org/W4220795122","https://openalex.org/W4225292984","https://openalex.org/W4280650645","https://openalex.org/W4307727129","https://openalex.org/W4318002432","https://openalex.org/W4385713972"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Abstract":[0],"At":[1],"present,":[2],"most":[3],"of":[4,24,34,84,87,141],"the":[5,22,32,79,100,137,142,154],"personalized":[6],"sequential":[7,156],"recommendations":[8],"utilize":[9],"users\u2019":[10],"implicit":[11,25,97],"positive":[12],"feedback":[13,27,30,51,60,90,98],"(such":[14],"as":[15],"clicks)":[16],"to":[17,72,93,117,135,163],"predict":[18],"user":[19,108,127],"behavior,":[20],"ignoring":[21],"impact":[23],"negative":[26],"and":[28,54,66,82,95,102,130,139,169],"explicit":[29,89],"on":[31,49,147],"accuracy":[33,138],"recommendation":[35,46,157],"results":[36,146,162],"prediction.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,111,124],"propose":[42],"a":[43,113],"robust":[44],"sequence":[45],"model":[47,74,158],"based":[48],"multi":[50],"behavior":[52,61],"denoising":[53,65],"trusted":[55,68,120,131],"neighbors,":[56],"which":[57],"utilizes":[58],"multiple":[59],"data":[62],"for":[63],"feature":[64,80],"considers":[67],"nearest":[69,132],"neighbor":[70,121,133],"information":[71],"improve":[73,136],"performance.":[75,109],"Firstly,":[76],"by":[77],"learning":[78],"representations":[81,129,134],"interactions":[83],"various":[85],"types":[86],"feedback,":[88],"is":[91],"used":[92],"map":[94],"purify":[96],"with":[99],"same":[101],"different":[103],"attributes,":[104],"resulting":[105],"in":[106,166],"unbiased":[107],"Then,":[110],"design":[112],"filter":[114],"attention":[115],"network":[116],"identify":[118],"highly":[119],"information.":[122],"Finally,":[123],"integrate":[125],"pure":[126],"interest":[128],"robustness":[140],"model.":[143],"The":[144],"experimental":[145],"two":[148],"publicly":[149],"available":[150],"datasets":[151],"show":[152],"that":[153],"proposed":[155],"can":[159],"achieve":[160],"superior":[161],"baseline":[164],"methods":[165],"both":[167],"AUC":[168],"RelaImpr.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
