{"id":"https://openalex.org/W2023880449","doi":"https://doi.org/10.1109/mlsp.2012.6349711","title":"Iterative collaborative filtering for recommender systems with sparse data","display_name":"Iterative collaborative filtering for recommender systems with sparse data","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2023880449","doi":"https://doi.org/10.1109/mlsp.2012.6349711","mag":"2023880449"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2012.6349711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2012.6349711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Machine Learning for Signal Processing","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/A5101941415","display_name":"Zhuo Zhang","orcid":"https://orcid.org/0000-0002-0596-0807"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuo Zhang","raw_affiliation_strings":["Princeton University, Department of Electrical Engineering, NJ 08544, USA","Princeton University, Dept. of Electrical Engineering, NJ 08544 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Department of Electrical Engineering, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University, Dept. of Electrical Engineering, NJ 08544 USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026048440","display_name":"Paul Cuff","orcid":"https://orcid.org/0000-0003-2936-9939"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Cuff","raw_affiliation_strings":["Princeton University, Department of Electrical Engineering, NJ 08544, USA","Princeton University, Dept. of Electrical Engineering, NJ 08544 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Department of Electrical Engineering, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University, Dept. of Electrical Engineering, NJ 08544 USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061117988","display_name":"Sanjeev Kulkarni","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev Kulkarni","raw_affiliation_strings":["Princeton University, Department of Electrical Engineering, NJ 08544, USA","Princeton University, Dept. of Electrical Engineering, NJ 08544 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Department of Electrical Engineering, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University, Dept. of Electrical Engineering, NJ 08544 USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2048,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90345389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9605000019073486,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.911300003528595,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.9062087535858154},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.865261435508728},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.848717451095581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152913808822632},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6752344369888306},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6473178267478943},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5967613458633423},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5525484085083008},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5026304721832275},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4971759617328644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4938074052333832},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4522186517715454},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43979644775390625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42706114053726196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42194676399230957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35043245553970337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33423495292663574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13334006071090698}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9062087535858154},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.865261435508728},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.848717451095581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152913808822632},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6752344369888306},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6473178267478943},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5967613458633423},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5525484085083008},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5026304721832275},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4971759617328644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4938074052333832},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4522186517715454},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43979644775390625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42706114053726196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42194676399230957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35043245553970337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33423495292663574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13334006071090698},{"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2012.6349711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2012.6349711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Machine Learning for Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1673941785","https://openalex.org/W1832221731","https://openalex.org/W1971040550","https://openalex.org/W1992270714","https://openalex.org/W1994389483","https://openalex.org/W2018573356","https://openalex.org/W2042281163","https://openalex.org/W2049455633","https://openalex.org/W2085937320","https://openalex.org/W2100235918","https://openalex.org/W2110325612","https://openalex.org/W2117311203","https://openalex.org/W2142144955","https://openalex.org/W2155106456","https://openalex.org/W2171960770","https://openalex.org/W2950332743","https://openalex.org/W3121531027","https://openalex.org/W4232980324","https://openalex.org/W6637259173","https://openalex.org/W6638635813","https://openalex.org/W6676522543","https://openalex.org/W6780057924"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W3173811578"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"(CF)":[2],"is":[3,44,123],"one":[4],"of":[5,17,62,84,143],"the":[6,35,41,60,72,105,121,132],"most":[7],"successful":[8],"techniques":[9],"in":[10,39,131],"recommender":[11],"systems.":[12],"By":[13],"utilizing":[14],"co-rated":[15,51],"items":[16],"pairwise":[18],"users":[19],"for":[20],"similarity":[21,73],"measurements,":[22],"traditional":[23,114],"CF":[24,69,79],"uses":[25],"a":[26,95],"weighted":[27],"summation":[28],"to":[29,47,55],"predict":[30],"unknown":[31],"ratings":[32,86],"based":[33,87,99],"on":[34,88,100,104],"available":[36],"ones.":[37],"However,":[38],"practice,":[40],"rating":[42,75],"matrix":[43],"too":[45],"sparse":[46,63],"find":[48],"sufficiently":[49],"many":[50],"items,":[52],"thus":[53],"leading":[54],"inaccurate":[56],"predictions.":[57],"To":[58],"address":[59],"case":[61,135],"data,":[64],"we":[65],"propose":[66],"an":[67,89],"iterative":[68],"that":[70,109,130],"updates":[71],"and":[74,92,118],"matrix.":[76],"The":[77,126],"improved":[78],"incrementally":[80],"selects":[81],"reliable":[82],"subsets":[83],"missing":[85],"adaptive":[90],"parameter":[91],"therefore":[93],"produces":[94],"more":[96],"credible":[97],"prediction":[98],"similarity.":[101],"Experimental":[102],"results":[103,127],"MovieLens":[106],"dataset":[107],"show":[108,129],"our":[110,136],"algorithm":[111,137],"significantly":[112],"outperforms":[113],"CF,":[115],"Default":[116],"Voting,":[117],"SVD":[119],"when":[120],"data":[122,134],"1%":[124],"sparse.":[125],"also":[128],"dense":[133],"performs":[138],"as":[139,141],"well":[140],"state":[142],"art":[144],"methods.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
