{"id":"https://openalex.org/W2098266562","doi":"https://doi.org/10.1109/icnsc.2010.5461512","title":"A novel approach to solve the sparsity problem in collaborative filtering","display_name":"A novel approach to solve the sparsity problem in collaborative filtering","publication_year":2010,"publication_date":"2010-04-01","ids":{"openalex":"https://openalex.org/W2098266562","doi":"https://doi.org/10.1109/icnsc.2010.5461512","mag":"2098266562"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2010.5461512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2010.5461512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-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/A5101534907","display_name":"Jia Zhou","orcid":"https://orcid.org/0009-0000-7120-6549"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jia Zhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108534872","display_name":"Tiejian Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiejian Luo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101534907"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4685,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93942719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"74","issue":null,"first_page":"165","last_page":"170"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9753000140190125,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9708999991416931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7767033576965332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168495059013367},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.7044383883476257},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.631773829460144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6069315075874329},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6069157719612122},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5993152260780334},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5962175726890564},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5503643155097961},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4718843698501587},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4623256027698517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.339996874332428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3306596875190735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3144276738166809},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21492049098014832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17745479941368103},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11688223481178284}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7767033576965332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168495059013367},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.7044383883476257},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.631773829460144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6069315075874329},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6069157719612122},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5993152260780334},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5962175726890564},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5503643155097961},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4718843698501587},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4623256027698517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.339996874332428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3306596875190735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3144276738166809},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21492049098014832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17745479941368103},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11688223481178284},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2010.5461512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2010.5461512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W191253868","https://openalex.org/W1495430942","https://openalex.org/W1532852017","https://openalex.org/W1550443206","https://openalex.org/W1673941785","https://openalex.org/W1832221731","https://openalex.org/W2000038887","https://openalex.org/W2029119963","https://openalex.org/W2048654012","https://openalex.org/W2117354486","https://openalex.org/W2118502261","https://openalex.org/W2124637492","https://openalex.org/W2137728971","https://openalex.org/W2140821974","https://openalex.org/W2169757306","https://openalex.org/W2171960770","https://openalex.org/W3110051778","https://openalex.org/W4300187280","https://openalex.org/W6631826473","https://openalex.org/W6637259173"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W1484355083","https://openalex.org/W4211215373","https://openalex.org/W2772628444","https://openalex.org/W2024529227","https://openalex.org/W4220714703","https://openalex.org/W1574575415","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W1966742602"],"abstract_inverted_index":{"Collaborative":[0],"Filtering":[1],"(CF)":[2],"is":[3,25,46],"the":[4,18,21,28,72,75,86,92,103,107,111,135,138,151],"most":[5],"successful":[6],"approach":[7,38,80,147],"of":[8,67],"Recommender":[9],"System.":[10],"Although":[11],"it":[12],"has":[13],"made":[14],"significant":[15],"progress":[16,114],"over":[17],"last":[19],"decade,":[20],"current":[22],"CF":[23,113,162],"method":[24],"stressed":[26],"by":[27],"sparsity":[29,153],"problem.":[30],"In":[31,78],"this":[32,41],"paper":[33],"we":[34,81,101],"propose":[35],"a":[36,47,65,129],"novel":[37],"to":[39,90],"address":[40],"issue.":[42],"Multiple":[43],"Imputation":[44],"(MI)":[45],"useful":[48],"statistic":[49],"strategy":[50],"for":[51],"dealing":[52],"with":[53,56,64],"data":[54,87,95,105,109],"sets":[55],"missing":[57,62],"values":[58,69],"and":[59,106,123,133,155],"replace":[60],"each":[61],"value":[63],"set":[66],"plausible":[68],"that":[70,145],"represent":[71],"uncertainty":[73],"about":[74],"right":[76],"value.":[77],"our":[79,146],"apply":[82],"MI":[83],"technique":[84],"in":[85,110,121],"processing":[88],"procedure":[89],"turn":[91],"original":[93,108],"sparse":[94],"into":[96],"dense":[97,104],"data.":[98],"And":[99],"then":[100],"use":[102],"following":[112],"separately.":[115],"We":[116,127],"compare":[117],"their":[118],"performance":[119],"both":[120],"cosine-based":[122],"correlation-based":[124],"similarity":[125],"measures.":[126],"conduct":[128],"10-fold":[130],"cross":[131],"validation":[132],"take":[134],"MAE":[136],"as":[137],"evaluation":[139],"metrics.":[140],"Our":[141],"experimental":[142],"results":[143,159],"show":[144],"can":[148],"efficiently":[149],"solve":[150],"extreme":[152],"problem,":[154],"provide":[156],"better":[157],"recommendation":[158],"than":[160],"traditional":[161],"method.":[163]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}