{"id":"https://openalex.org/W2089276320","doi":"https://doi.org/10.4304/jsw.6.6.993-1000","title":"A New Similarity Measure Based on Adjusted Euclidean Distance for Memory-based Collaborative Filtering","display_name":"A New Similarity Measure Based on Adjusted Euclidean Distance for Memory-based Collaborative Filtering","publication_year":2011,"publication_date":"2011-06-03","ids":{"openalex":"https://openalex.org/W2089276320","doi":"https://doi.org/10.4304/jsw.6.6.993-1000","mag":"2089276320"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.6.6.993-1000","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.6.6.993-1000","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","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/A5024803751","display_name":"Huifeng Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huifeng Sun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103150712","display_name":"Yong Peng","orcid":"https://orcid.org/0000-0002-2253-3524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979694","display_name":"Junliang Chen","orcid":"https://orcid.org/0000-0002-7147-2625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junliang Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036989858","display_name":"Chuanchang Liu","orcid":"https://orcid.org/0000-0002-0418-9889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanchang Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083965008","display_name":"Yuzhuo Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuzhuo Sun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024803751"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9115,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95932249,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":"6","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":0.9998999834060669,"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":0.9840999841690063,"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":0.9718999862670898,"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":0.8645981550216675},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.8538904190063477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8420186042785645},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7337809801101685},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7275009751319885},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.7264379262924194},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7223755717277527},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6768078804016113},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5297920107841492},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5243149995803833},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4959002435207367},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4770295321941376},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4721039831638336},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.42317935824394226},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41965746879577637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37172532081604004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34095606207847595},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33231717348098755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13951918482780457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12566906213760376},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09134536981582642}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8645981550216675},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8538904190063477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8420186042785645},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7337809801101685},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7275009751319885},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7264379262924194},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7223755717277527},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6768078804016113},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5297920107841492},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5243149995803833},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4959002435207367},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4770295321941376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4721039831638336},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.42317935824394226},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41965746879577637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37172532081604004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34095606207847595},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33231717348098755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13951918482780457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12566906213760376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09134536981582642},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.6.6.993-1000","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.6.6.993-1000","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W179787377","https://openalex.org/W1964758795","https://openalex.org/W2001530795","https://openalex.org/W2018597607","https://openalex.org/W2033500845","https://openalex.org/W2042281163","https://openalex.org/W2043403353","https://openalex.org/W2050942713","https://openalex.org/W2070481445","https://openalex.org/W2110325612","https://openalex.org/W2124591829","https://openalex.org/W2127300005","https://openalex.org/W2142144955","https://openalex.org/W2155106456","https://openalex.org/W2155912844","https://openalex.org/W2159094788","https://openalex.org/W2161984370","https://openalex.org/W2171960770","https://openalex.org/W2615582461"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2039353346","https://openalex.org/W2152732186","https://openalex.org/W1982925424","https://openalex.org/W2902282441","https://openalex.org/W3111740253","https://openalex.org/W2014214435"],"abstract_inverted_index":{"Memory-based":[0],"collaborative":[1],"filtering":[2],"(CF)":[3],"is":[4,38,62],"applied":[5],"to":[6,9,18],"help":[7],"users":[8],"find":[10],"their":[11],"favorite":[12],"items":[13],"in":[14,26,95],"recommender":[15,27],"systems.":[16,32],"Up":[17],"now,":[19],"this":[20,36],"approach":[21,37],"has":[22],"been":[23],"proven":[24],"successful":[25],"systems,":[28],"such":[29],"as":[30],"e-commerce":[31],"The":[33,139],"idea":[34],"of":[35,42,111,116,149],"that":[39,64,105,143],"the":[40,103,109,147],"interest":[41],"a":[43,78],"particular":[44],"user":[45],"will":[46],"be":[47,70],"more":[48],"consistent":[49],"with":[50,56,134],"those":[51],"who":[52],"share":[53],"similar":[54],"preference":[55],"him":[57],"or":[58],"her.":[59],"Therefore,":[60],"it":[61,106],"critical":[63],"an":[65],"appropriate":[66],"similarity":[67,80],"measure":[68,81],"should":[69],"selected":[71],"for":[72],"making":[73],"recommendations.":[74],"This":[75],"paper":[76],"proposes":[77],"new":[79],"named":[82],"adjusted":[83],"Euclidean":[84,91],"distance":[85],"(AED)":[86],"method":[87],"which":[88],"unifies":[89],"all":[90],"distances":[92],"between":[93],"vectors":[94,112],"different":[96,114],"dimensional":[97],"vector":[98,117],"spaces.":[99],"Our":[100],"AED":[101,133,145],"enjoy":[102],"advantages":[104],"takes":[107],"both":[108],"length":[110],"and":[113,126,151],"dimension-numbers":[115],"spaces":[118],"into":[119],"consideration.":[120],"Based":[121],"on":[122],"two":[123,135],"datasets":[124],"MovieLens":[125],"Book-Crossing,":[127],"we":[128],"conduct":[129],"experiments":[130],"comparing":[131],"our":[132,144],"notable":[136],"existing":[137],"methods.":[138],"experimental":[140],"results":[141],"demonstrate":[142],"improves":[146],"accuracy":[148],"prediction":[150],"recommendation.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}