{"id":"https://openalex.org/W2586815029","doi":"https://doi.org/10.1109/smc.2016.7844813","title":"An efficient and effective method to find uninteresting items for accurate collaborative filtering","display_name":"An efficient and effective method to find uninteresting items for accurate collaborative filtering","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2586815029","doi":"https://doi.org/10.1109/smc.2016.7844813","mag":"2586815029"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026950262","display_name":"Hyung-ook Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-ook Kim","raw_affiliation_strings":["Dept. of Computer and Software, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Software, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783889","display_name":"Jiwoon Ha","orcid":"https://orcid.org/0000-0002-6767-9121"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoon Ha","raw_affiliation_strings":["Dept. of Computer and Software, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Software, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Dept. of Computer and Software, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Software, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"003725","last_page":"003730"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9729999899864197,"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":0.9286999702453613,"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":0.8938446044921875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8086016178131104},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.602220356464386},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5468627214431763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49759915471076965},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4807272255420685},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.46215420961380005},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.43994614481925964},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4180668592453003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3593876361846924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32520508766174316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3044024407863617},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.10406756401062012}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8938446044921875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086016178131104},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.602220356464386},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5468627214431763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49759915471076965},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4807272255420685},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.46215420961380005},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.43994614481925964},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4180668592453003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3593876361846924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32520508766174316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3044024407863617},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.10406756401062012},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1493526108","https://openalex.org/W1530276735","https://openalex.org/W1965355809","https://openalex.org/W2020592584","https://openalex.org/W2042281163","https://openalex.org/W2044618102","https://openalex.org/W2070774497","https://openalex.org/W2082831169","https://openalex.org/W2096762662","https://openalex.org/W2110325612","https://openalex.org/W2113273124","https://openalex.org/W2113310024","https://openalex.org/W2124187902","https://openalex.org/W2127480961","https://openalex.org/W2150886314","https://openalex.org/W2155106456","https://openalex.org/W2169305649","https://openalex.org/W2171960770","https://openalex.org/W2423263085","https://openalex.org/W2950332743","https://openalex.org/W6676522543"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Collaborative":[0,74],"filtering":[1],"methods":[2],"suffer":[3],"from":[4],"a":[5,80,89],"data":[6,29,34],"sparsity":[7,30],"problem,":[8,31],"which":[9,44],"indicates":[10],"that":[11,78,92,106,119,133],"the":[12,18,28,41,67,72,112,120,135],"accuracy":[13,122],"of":[14,63,82,134],"recommendation":[15,23,64,100,121],"decreases":[16],"when":[17],"user-item":[19],"matrix":[20],"used":[21],"in":[22,61],"is":[24,109,126],"sparse.":[25],"To":[26],"alleviate":[27],"researches":[32],"on":[33],"imputation":[35],"have":[36],"been":[37],"done.":[38],"In":[39,84],"particular,":[40],"zero-injection":[42,69,114,137],"method,":[43],"finds":[45,93],"uninteresting":[46,94],"items":[47,54,95],"and":[48,116],"imputes":[49],"zero":[50],"values":[51],"to":[52,132],"those":[53],"for":[55],"collaborative":[56],"filtering,":[57],"achieves":[58],"significant":[59],"improvement":[60],"terms":[62],"accuracy.":[65,101],"However,":[66],"existing":[68,113,136],"method":[70,77,91,108,115,125],"employs":[71],"One-Class":[73],"Filtering":[75],"(OCCF)":[76],"requires":[79],"lot":[81],"time.":[83],"this":[85],"paper,":[86],"we":[87],"propose":[88],"fast":[90],"rapidly":[96],"with":[97],"preserving":[98],"high":[99],"Our":[102],"experimental":[103],"results":[104],"show":[105,118],"our":[107,124],"faster":[110],"than":[111,129],"also":[117],"using":[123],"slightly":[127],"higher":[128],"or":[130],"similar":[131],"method.":[138]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
