{"id":"https://openalex.org/W4405279006","doi":"https://doi.org/10.1145/3708353","title":"Piecewise Weighting Function for Collaborative Filtering Recommendation","display_name":"Piecewise Weighting Function for Collaborative Filtering Recommendation","publication_year":2024,"publication_date":"2024-12-11","ids":{"openalex":"https://openalex.org/W4405279006","doi":"https://doi.org/10.1145/3708353"},"language":"en","primary_location":{"id":"doi:10.1145/3708353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708353","pdf_url":null,"source":{"id":"https://openalex.org/S16632050","display_name":"ACM Transactions on Autonomous and Adaptive Systems","issn_l":"1556-4665","issn":["1556-4665","1556-4703"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Autonomous and Adaptive 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/A5101508322","display_name":"Jiaye Li","orcid":"https://orcid.org/0000-0002-6267-8437"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaye Li","raw_affiliation_strings":["The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China","The State Key Laboratory of Blockchain and Data Security, Zhejiang University, and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022280647","display_name":"Jiagang Song","orcid":"https://orcid.org/0000-0001-8684-6493"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiagang Song","raw_affiliation_strings":["The School of Computer Science and Engineering, Central South University, Changsha, China","The School of Computer Science and Engineering, Central South University, China"],"affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"The School of Computer Science and Engineering, Central South University, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764178","display_name":"Shichao Zhang","orcid":"https://orcid.org/0000-0001-9981-2970"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Zhang","raw_affiliation_strings":["Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","Guangxi Key Lab of Multi-Source Information Mining &amp; Security, Guangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Key Lab of Multi-Source Information Mining &amp; Security, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101508322"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.8118,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81791842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"20","issue":"1","first_page":"1","last_page":"28"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9835000038146973,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9812999963760376,"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/weighting","display_name":"Weighting","score":0.8722422122955322},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.7992640733718872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7215493321418762},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.659436821937561},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5845352411270142},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5354303121566772},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5268339514732361},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49955034255981445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48800888657569885},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4481915831565857},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4474671483039856},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4323442578315735},{"id":"https://openalex.org/keywords/weight-function","display_name":"Weight function","score":0.430298388004303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4036361873149872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29914820194244385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28841501474380493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2675786018371582},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.2358485460281372},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11839896440505981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08038386702537537}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8722422122955322},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.7992640733718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215493321418762},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.659436821937561},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5845352411270142},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5354303121566772},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5268339514732361},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49955034255981445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48800888657569885},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4481915831565857},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4474671483039856},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4323442578315735},{"id":"https://openalex.org/C134466208","wikidata":"https://www.wikidata.org/wiki/Q1520657","display_name":"Weight function","level":2,"score":0.430298388004303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4036361873149872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29914820194244385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28841501474380493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2675786018371582},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2358485460281372},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11839896440505981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08038386702537537},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708353","pdf_url":null,"source":{"id":"https://openalex.org/S16632050","display_name":"ACM Transactions on Autonomous and Adaptive Systems","issn_l":"1556-4665","issn":["1556-4665","1556-4703"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Autonomous and Adaptive 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":79,"referenced_works":["https://openalex.org/W98164311","https://openalex.org/W618024573","https://openalex.org/W1502957213","https://openalex.org/W1963847195","https://openalex.org/W2017858199","https://openalex.org/W2030808931","https://openalex.org/W2126150009","https://openalex.org/W2270043185","https://openalex.org/W2290145898","https://openalex.org/W2606436201","https://openalex.org/W2899842090","https://openalex.org/W2940568479","https://openalex.org/W2990714382","https://openalex.org/W3000020348","https://openalex.org/W3013226340","https://openalex.org/W3036389516","https://openalex.org/W3091995628","https://openalex.org/W3112926397","https://openalex.org/W3117306485","https://openalex.org/W3120409033","https://openalex.org/W3136943665","https://openalex.org/W3143258789","https://openalex.org/W3148635952","https://openalex.org/W3161335532","https://openalex.org/W3192180050","https://openalex.org/W3197108287","https://openalex.org/W3199301877","https://openalex.org/W3199639496","https://openalex.org/W3205506291","https://openalex.org/W3213291467","https://openalex.org/W4205341929","https://openalex.org/W4206907565","https://openalex.org/W4210477027","https://openalex.org/W4212771252","https://openalex.org/W4212881362","https://openalex.org/W4213307346","https://openalex.org/W4220853078","https://openalex.org/W4220861476","https://openalex.org/W4220907612","https://openalex.org/W4224757231","https://openalex.org/W4226210383","https://openalex.org/W4226450359","https://openalex.org/W4231712281","https://openalex.org/W4246252528","https://openalex.org/W4249343796","https://openalex.org/W4255328724","https://openalex.org/W4281556030","https://openalex.org/W4281639630","https://openalex.org/W4282549812","https://openalex.org/W4285164152","https://openalex.org/W4285166886","https://openalex.org/W4288367248","https://openalex.org/W4290715051","https://openalex.org/W4293209257","https://openalex.org/W4306386084","https://openalex.org/W4310725593","https://openalex.org/W4312713717","https://openalex.org/W4361794561","https://openalex.org/W4367849720","https://openalex.org/W4380885549","https://openalex.org/W4382024637","https://openalex.org/W4385380955","https://openalex.org/W4386143129","https://openalex.org/W4388890836","https://openalex.org/W4390017890","https://openalex.org/W4391146823","https://openalex.org/W4391179448","https://openalex.org/W4391305436","https://openalex.org/W4392045633","https://openalex.org/W4392397350","https://openalex.org/W4394975229","https://openalex.org/W4399618571","https://openalex.org/W4399834879","https://openalex.org/W4400075103","https://openalex.org/W4400151247","https://openalex.org/W4405868324","https://openalex.org/W6787267479","https://openalex.org/W6798549079","https://openalex.org/W6839498709"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W3208509670","https://openalex.org/W2109304297","https://openalex.org/W2100864966","https://openalex.org/W2083709218","https://openalex.org/W279997932"],"abstract_inverted_index":{"The":[0,136,167],"assignment":[1],"of":[2,33,76,85,124,130],"a":[3,28,43,61,70,82,100,122],"fixed":[4,154],"weight":[5,155],"value":[6],"to":[7,51,64,88,111,126],"an":[8],"attribute":[9,77,93],"(or":[10],"variable)":[11],"is":[12,108,174],"not":[13,20],"always":[14],"considered":[15],"reasonable,":[16],"as":[17,157],"it":[18],"may":[19],"effectively":[21],"preserve":[22],"user":[23,113],"similarity,":[24],"potentially":[25],"resulting":[26],"in":[27,30],"decline":[29],"the":[31,66,74,86,128,131,140,144,149,171],"performance":[32,129],"collaborative":[34,53,116,132],"filtering":[35,54,117,133],"recommendation":[36,134],"algorithms.":[37],"In":[38],"this":[39],"article,":[40],"we":[41,80,120],"introduce":[42],"piecewise":[44,101,105,145],"weighting":[45,102,106,146],"method":[46],"that":[47,139,152],"incorporates":[48],"hyper-class":[49,83],"representation":[50,84],"enhance":[52],"recommendations.":[55,118],"Our":[56],"approach":[57],"begins":[58],"with":[59],"applying":[60],"kernel":[62,71],"function":[63,107],"map":[65],"original":[67],"data":[68,87],"into":[69],"space,":[72],"facilitating":[73],"learning":[75],"weights.":[78],"Subsequently,":[79],"construct":[81],"derive":[89],"weights":[90],"for":[91,115,170],"segmented":[92],"values":[94],"(hyper-classes)":[95],"within":[96],"each":[97],"attribute,":[98],"creating":[99],"function.":[103],"This":[104],"then":[109],"utilized":[110],"compute":[112],"similarities":[114],"Finally,":[119],"conduct":[121],"series":[123],"experiments":[125],"assess":[127],"algorithm.":[135],"results":[137],"demonstrate":[138],"proposed":[141,172],"algorithm,":[142],"employing":[143],"function,":[147],"outperforms":[148],"compared":[150],"algorithm":[151,173],"uses":[153],"values,":[156],"assessed":[158],"by":[159],"RMSE,":[160],"Mean":[161],"Absolute":[162],"Error":[163],"(MAE),":[164],"and":[165],"Precision.":[166],"source":[168],"code":[169],"available":[175],"at":[176],"https://github.com/Lijy207/HCPW":[177],".":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
