{"id":"https://openalex.org/W3030047668","doi":"https://doi.org/10.1587/transinf.2019edp7258","title":"A New Similarity Model Based on Collaborative Filtering for New User Cold Start Recommendation","display_name":"A New Similarity Model Based on Collaborative Filtering for New User Cold Start Recommendation","publication_year":2020,"publication_date":"2020-05-31","ids":{"openalex":"https://openalex.org/W3030047668","doi":"https://doi.org/10.1587/transinf.2019edp7258","mag":"3030047668"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019edp7258","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7258","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/6/E103.D_2019EDP7258/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/6/E103.D_2019EDP7258/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020709762","display_name":"Ruilin Pan","orcid":"https://orcid.org/0000-0002-8268-739X"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruilin PAN","raw_affiliation_strings":["School of Management Science and Engineering, Anhui University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Anhui University of Technology","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064425465","display_name":"Chuanming Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanming GE","raw_affiliation_strings":["School of Management Science and Engineering, Anhui University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Anhui University of Technology","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425448","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-7914-0679"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li ZHANG","raw_affiliation_strings":["School of Management Science and Engineering, Anhui University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Anhui University of Technology","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101671767","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0001-9799-4635"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei ZHAO","raw_affiliation_strings":["School of Management Science and Engineering, Anhui University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Anhui University of Technology","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065441752","display_name":"Xun Shao","orcid":"https://orcid.org/0000-0003-2728-5619"},"institutions":[{"id":"https://openalex.org/I98957242","display_name":"Kitami Institute of Technology","ror":"https://ror.org/05wks2t16","country_code":"JP","type":"education","lineage":["https://openalex.org/I98957242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xun SHAO","raw_affiliation_strings":["School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology","institution_ids":["https://openalex.org/I98957242"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020709762"],"corresponding_institution_ids":["https://openalex.org/I92178344"],"apc_list":null,"apc_paid":null,"fwci":3.6168,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93991196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"E103.D","issue":"6","first_page":"1388","last_page":"1394"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9607999920845032,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8713206052780151},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.8449817895889282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8246752023696899},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7498623728752136},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6837728023529053},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6352304220199585},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6300151348114014},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5702995657920837},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5335571765899658},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4937799870967865},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.47522595524787903},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4679837226867676},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46648576855659485},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4510568380355835},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41822999715805054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40223366022109985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3857038617134094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3570949137210846},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1570998728275299},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13021722435951233}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8713206052780151},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8449817895889282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8246752023696899},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7498623728752136},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6837728023529053},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6352304220199585},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6300151348114014},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5702995657920837},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5335571765899658},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4937799870967865},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.47522595524787903},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4679837226867676},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46648576855659485},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4510568380355835},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41822999715805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40223366022109985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3857038617134094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3570949137210846},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1570998728275299},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13021722435951233},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2019edp7258","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7258","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/6/E103.D_2019EDP7258/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019edp7258","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7258","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/6/E103.D_2019EDP7258/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3493761236","display_name":null,"funder_award_id":"20180205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G386089023","display_name":null,"funder_award_id":"2018020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6042543430","display_name":null,"funder_award_id":"71772002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6968264029","display_name":null,"funder_award_id":"61702006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7935533444","display_name":null,"funder_award_id":"201802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3030047668.pdf","grobid_xml":"https://content.openalex.org/works/W3030047668.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W307322032","https://openalex.org/W1846235105","https://openalex.org/W1963553570","https://openalex.org/W1974196922","https://openalex.org/W1979117702","https://openalex.org/W2003274231","https://openalex.org/W2018597607","https://openalex.org/W2028627965","https://openalex.org/W2031305127","https://openalex.org/W2031634675","https://openalex.org/W2034109381","https://openalex.org/W2039285368","https://openalex.org/W2039353303","https://openalex.org/W2081332171","https://openalex.org/W2084527756","https://openalex.org/W2094908976","https://openalex.org/W2111094216","https://openalex.org/W2154259852","https://openalex.org/W2155106456","https://openalex.org/W2171960770","https://openalex.org/W2211485826","https://openalex.org/W2230133362","https://openalex.org/W2343693914","https://openalex.org/W2533413719","https://openalex.org/W2534727297","https://openalex.org/W2573719245","https://openalex.org/W2803478834","https://openalex.org/W2889386526","https://openalex.org/W2903158826"],"related_works":["https://openalex.org/W2797500822","https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W2986679525","https://openalex.org/W4205822456","https://openalex.org/W2735929803","https://openalex.org/W2954356050","https://openalex.org/W2113380565","https://openalex.org/W2081388176","https://openalex.org/W2942098650"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"(CF)":[2],"is":[3],"one":[4],"of":[5,42,71,86,99,111,122,126,142,153,163,180],"the":[6,29,49,67,84,102,108,120,123,135,149,170],"most":[7],"popular":[8,87,175],"approaches":[9],"to":[10,113,133],"building":[11],"Recommender":[12],"systems":[13],"(RS)":[14],"and":[15,96,151,166,184],"has":[16],"been":[17],"extensively":[18],"implemented":[19],"in":[20,48,52,178],"many":[21],"online":[22],"applications.":[23],"But":[24],"it":[25],"still":[26],"suffers":[27],"from":[28],"new":[30,60,78,104,187],"user":[31,154,188],"cold":[32,72,189],"start":[33,190],"problem":[34],"that":[35,169],"users":[36,130],"have":[37],"only":[38],"a":[39,59,77],"small":[40],"number":[41],"items":[43,114],"interaction":[44],"or":[45],"purchase":[46],"records":[47],"system,":[50],"resulting":[51],"poor":[53],"recommendation":[54],"performance.":[55],"Thus,":[56],"we":[57,139],"design":[58],"similarity":[61,124,176],"model":[62,172],"which":[63],"can":[64],"fully":[65],"utilize":[66],"limited":[68],"rating":[69,145],"information":[70,98],"users.":[73,117],"We":[74],"first":[75],"construct":[76],"metric,":[79,105],"Popularity-Mean":[80],"Squared":[81],"Difference,":[82],"considering":[83],"influence":[85],"items,":[88],"average":[89],"difference":[90],"between":[91,115,128],"two":[92,116,129],"user's":[93,143],"common":[94],"ratings":[95],"non-numerical":[97],"ratings.":[100,155],"Moreover,":[101],"second":[103],"Singularity-Difference,":[106],"presents":[107],"deviation":[109,136],"degree":[110,125],"favor":[112],"It":[118],"considers":[119],"distribution":[121],"co-ratings":[127],"as":[131],"weight":[132],"adjust":[134],"degree.":[137],"Finally,":[138],"take":[140],"account":[141],"personal":[144],"preferences":[146],"through":[147],"introducing":[148],"mean":[150],"variance":[152],"Experiment":[156],"results":[157],"based":[158],"on":[159],"three":[160],"real-life":[161],"datasets":[162],"MovieLens,":[164],"Epinions":[165],"Netflix":[167],"demonstrate":[168],"proposed":[171],"outperforms":[173],"seven":[174],"methods":[177],"terms":[179],"MAE,":[181],"precision,":[182],"recall":[183],"F1-Measure":[185],"under":[186],"condition.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}