{"id":"https://openalex.org/W2069147709","doi":"https://doi.org/10.1109/smc.2014.6973968","title":"Collaborative filtering by PSO-based MMMF","display_name":"Collaborative filtering by PSO-based MMMF","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2069147709","doi":"https://doi.org/10.1109/smc.2014.6973968","mag":"2069147709"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6973968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5108216423","display_name":"V. Sowmini Devi","orcid":null},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V. Sowmini Devi","raw_affiliation_strings":["School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Telangana, IN","School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Telangana, IN","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039761970","display_name":"Venkateswara Rao Kagita","orcid":"https://orcid.org/0000-0002-4996-2011"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkateswara Rao Kagita","raw_affiliation_strings":["School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Telangana, IN","School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Telangana, IN","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014904537","display_name":"Arun K. Pujari","orcid":"https://orcid.org/0000-0003-2482-8948"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun K. Pujari","raw_affiliation_strings":["School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Andhra Pradesh, India","School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Andhra Pradesh, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032847771","display_name":"Vineet Padmanabhan","orcid":"https://orcid.org/0000-0002-5571-839X"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vineet Padmanabhan","raw_affiliation_strings":["School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Andhra Pradesh, India","School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, Hyderabad, Andhra Pradesh, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"School of Computer & Information Sciences, University of Hyderabad, 500046, Andhra Pradesh, India","institution_ids":["https://openalex.org/I36893310"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108216423"],"corresponding_institution_ids":["https://openalex.org/I36893310"],"apc_list":null,"apc_paid":null,"fwci":5.5223,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95695076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"569","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9506000280380249,"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/T10057","display_name":"Face and Expression Recognition","score":0.9448999762535095,"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/recommender-system","display_name":"Recommender system","score":0.7765554189682007},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.7460054755210876},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7076470255851746},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6815630197525024},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6659241914749146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626114249229431},{"id":"https://openalex.org/keywords/hinge-loss","display_name":"Hinge loss","score":0.6410796642303467},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5046061277389526},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49922657012939453},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.484234094619751},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4066705107688904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3624483346939087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35169434547424316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26239511370658875},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22286877036094666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2001495659351349}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7765554189682007},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.7460054755210876},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7076470255851746},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6815630197525024},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6659241914749146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626114249229431},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.6410796642303467},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5046061277389526},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49922657012939453},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.484234094619751},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4066705107688904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3624483346939087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35169434547424316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26239511370658875},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22286877036094666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2001495659351349},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2014.6973968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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":24,"referenced_works":["https://openalex.org/W63384232","https://openalex.org/W340958223","https://openalex.org/W1530943660","https://openalex.org/W1563739387","https://openalex.org/W1575641478","https://openalex.org/W1893801903","https://openalex.org/W1975368121","https://openalex.org/W1976618413","https://openalex.org/W1980147176","https://openalex.org/W2012231377","https://openalex.org/W2054141820","https://openalex.org/W2063976859","https://openalex.org/W2122090912","https://openalex.org/W2124290836","https://openalex.org/W2125637712","https://openalex.org/W2137145033","https://openalex.org/W2151528748","https://openalex.org/W2154051223","https://openalex.org/W2170858806","https://openalex.org/W2399386490","https://openalex.org/W6631855741","https://openalex.org/W6633760862","https://openalex.org/W6677671969","https://openalex.org/W6685004768"],"related_works":["https://openalex.org/W3109911900","https://openalex.org/W1575318294","https://openalex.org/W4312998587","https://openalex.org/W3080740766","https://openalex.org/W2909865466","https://openalex.org/W3197169288","https://openalex.org/W2032039661","https://openalex.org/W4386143129","https://openalex.org/W2908124738","https://openalex.org/W2067330905"],"abstract_inverted_index":{"Matrix":[0,147],"factorization":[1,110,162],"(MF)":[2],"techniques":[3],"are":[4,34],"one":[5,56],"of":[6,11,139,183,192,204,223,237],"the":[7,29,32,40,60,63,90,104,167,176,201,205,228],"most":[8],"succesful":[9],"realisations":[10],"recommender":[12,24],"systems":[13],"based":[14,26],"on":[15,27,37,49],"collaborative":[16,238,263],"filtering/prediction":[17],"(CF).":[18],"For":[19],"instance,":[20],"in":[21,62,83],"a":[22,76,84,140,181],"movie":[23],"system":[25,33],"CF,":[28],"inputs":[30],"to":[31,58,71,93,174,209,252],"user":[35,47,95],"ratings":[36],"movies":[38,50],"(items)":[39],"users":[41],"have":[42,52],"already":[43],"seen.":[44],"To":[45],"predict":[46],"preferences":[48],"they":[51],"not":[53,225,247],"yet":[54],"watched":[55],"needs":[57],"understand":[59],"patterns":[61],"partially":[64,85],"observed":[65,86],"rating":[66,105,159],"matrix.":[67,88,160],"It":[68],"is":[69,92,107,111,154,163,208],"possible":[70],"visualize":[72],"this":[73,134],"setting":[74],"as":[75,126,241],"matrix":[77,106,260],"completion":[78],"problem,":[79],"i.e.,":[80],"completing":[81],"entries":[82],"data":[87],"Then":[89],"objective":[91,117,170,203],"compute":[94],"latent":[96,100],"factor":[97,101],"and":[98,150,243],"item":[99],"such":[102,125,240],"that":[103,152],"completed.":[108],"The":[109,161],"usually":[112],"accomplished":[113,164],"by":[114,165,179,196],"minimizing":[115,166,218],"an":[116],"function":[118,230],"using":[119],"gradient":[120,128,131,177,198],"descent":[121],"or":[122,129],"its":[123],"variants":[124],"conjugate":[127],"stochastic":[130],"descent.":[132],"In":[133],"paper":[135],"we":[136],"make":[137],"use":[138],"particular":[141],"MF":[142],"technique":[143],"called":[144],"Maximum":[145],"Margin":[146],"Factorization":[148],"(MMMF)":[149],"show":[151],"it":[153],"suitable":[155],"for":[156,227,233,262],"multi-level":[157],"discrete":[158],"hinge":[168],"loss":[169,229],"function.":[171],"We":[172],"propose":[173],"improve":[175],"search":[178,195],"combining":[180],"component":[182],"particle":[184,254],"Swarm":[185],"Optimisation":[186],"(PSO)":[187],"search.":[188,212],"Though":[189],"earlier":[190,250],"attempts":[191],"improving":[193],"PSO":[194],"adding":[197],"information":[199],"exist,":[200],"main":[202],"present":[206],"work":[207],"improvise":[210],"gradient/stochastic-gradient":[211],"Our":[213],"proposed":[214],"algorithm":[215],"finds":[216],"better":[217],"points":[219],"early":[220],"(fewer":[221],"number":[222],"iterations)":[224],"only":[226],"but":[231],"also":[232],"other":[234],"performance":[235],"metrics":[236],"filtering":[239],"RMSE":[242],"MAE.":[244],"There":[245],"has":[246],"been":[248],"any":[249],"attempt":[251],"combine":[253],"swarm":[255],"optimisation":[256],"with":[257],"maximum":[258],"margin":[259],"factorisation":[261],"filtering.":[264]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}