{"id":"https://openalex.org/W1917046964","doi":"https://doi.org/10.1109/isspit.2014.7300629","title":"A Blind Compressed Sensing formulation for collaborative filtering","display_name":"A Blind Compressed Sensing formulation for collaborative filtering","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1917046964","doi":"https://doi.org/10.1109/isspit.2014.7300629","mag":"1917046964"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2014.7300629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5077117728","display_name":"Anuj Rajani","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anuj Rajani","raw_affiliation_strings":["Dept of Electrical and Computer Engineering, Texas A&M University, College Station, TX"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical and Computer Engineering, Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079252565","display_name":"Paritosh Mittal","orcid":"https://orcid.org/0000-0001-6471-2080"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Paritosh Mittal","raw_affiliation_strings":["Dept of Electrical and Computer Engineering, Texas A&M University, College Station, TX","Indraprastha Institute of Information Technology Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical and Computer Engineering, Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111259779","display_name":"Aishwarya Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aishwarya Jain","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077117728"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03564168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7446","issue":null,"first_page":"000438","last_page":"000443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9955000281333923,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7160776853561401},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.677386462688446},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6040547490119934},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5656907558441162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5541764497756958},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4302275478839874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42739415168762207},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3698972463607788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32846254110336304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18233269453048706}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7160776853561401},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.677386462688446},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6040547490119934},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5656907558441162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541764497756958},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4302275478839874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42739415168762207},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3698972463607788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32846254110336304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18233269453048706},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2014.7300629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2045220410","https://openalex.org/W2049455633","https://openalex.org/W2050834445","https://openalex.org/W2077237786","https://openalex.org/W2080075071","https://openalex.org/W2119523409","https://openalex.org/W2141033972","https://openalex.org/W2165949563","https://openalex.org/W2168745297","https://openalex.org/W2170962921","https://openalex.org/W2596629674","https://openalex.org/W2963363076","https://openalex.org/W4232980324","https://openalex.org/W6682218280","https://openalex.org/W6684677280"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"For":[0],"the":[1,18,25,65,71,89,92,104],"first":[2],"we":[3,117],"frame":[4],"collaborative":[5],"filtering":[6],"as":[7],"a":[8,29],"Blind":[9],"Compressed":[10],"Sensing":[11],"(BCS)":[12],"problem.":[13],"Our":[14],"formulation":[15],"stems":[16],"from":[17],"standard":[19],"matrix":[20,27,33,67,81,94,114],"factorization":[21,115],"approach":[22],"of":[23],"decomposing":[24],"ratings":[26],"into":[28],"user":[30,66],"latent":[31,37],"factor":[32,38],"and":[34,52],"an":[35,79],"item":[36,72,80,93],"matrix.":[39,73],"Previous":[40],"studies":[41],"assumed":[42],"both":[43,50],"these":[44],"matrices":[45],"to":[46,82,97,103,126],"be":[47,98],"dense,":[48],"i.e.":[49,91],"users":[51],"items":[53],"had":[54],"non-zero":[55],"values":[56,86],"for":[57,64,70,78,87],"all":[58,88],"factors.":[59],"This":[60,100],"assumption":[61,101],"is":[62,75,95],"true":[63],"but":[68],"not":[69,76],"It":[74],"possible":[77],"have":[83],"non":[84],"zero":[85],"factors,":[90],"likely":[96],"sparse.":[99],"leads":[102],"BCS":[105],"formulation.":[106],"We":[107],"compared":[108,125],"our":[109,120],"proposed":[110],"method":[111,121],"with":[112],"state-of-the-art":[113],"approaches;":[116],"find":[118],"that":[119],"yields":[122],"better":[123],"accuracy":[124],"these.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}