{"id":"https://openalex.org/W3090840841","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207424","title":"IO-aware Factorization Machine for User Response Prediction","display_name":"IO-aware Factorization Machine for User Response Prediction","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090840841","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207424","mag":"3090840841"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5086005289","display_name":"HU Zhen-hao","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenhao Hu","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706602","display_name":"Chao Peng","orcid":"https://orcid.org/0000-0001-6561-823X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Peng","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330330","display_name":"Cheng He","orcid":"https://orcid.org/0000-0003-4218-8454"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng He","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101931026","display_name":"Haibin Cai","orcid":"https://orcid.org/0000-0003-1398-6676"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Cai","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086005289"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65503902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940999746322632,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9900000095367432,"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.7971401214599609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7825347781181335},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6958426833152771},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6731806993484497},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5850585699081421},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5646890997886658},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5356359481811523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303574204444885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49636656045913696},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.46913477778434753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35167431831359863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25667399168014526}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7971401214599609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7825347781181335},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6958426833152771},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6731806993484497},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5850585699081421},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5646890997886658},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5356359481811523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303574204444885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49636656045913696},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.46913477778434753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35167431831359863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25667399168014526},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W854541894","https://openalex.org/W1514535095","https://openalex.org/W1714176656","https://openalex.org/W1821462560","https://openalex.org/W1994389483","https://openalex.org/W2002834872","https://openalex.org/W2024165284","https://openalex.org/W2054141820","https://openalex.org/W2055079831","https://openalex.org/W2074694452","https://openalex.org/W2094286023","https://openalex.org/W2095705004","https://openalex.org/W2133564696","https://openalex.org/W2219888463","https://openalex.org/W2251817967","https://openalex.org/W2295739661","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2527464456","https://openalex.org/W2548570154","https://openalex.org/W2604662567","https://openalex.org/W2736230012","https://openalex.org/W2768956845","https://openalex.org/W2808978508","https://openalex.org/W2951001079","https://openalex.org/W2951581544","https://openalex.org/W2963207245","https://openalex.org/W2963323306","https://openalex.org/W2963403868","https://openalex.org/W2964052347","https://openalex.org/W2964308564","https://openalex.org/W2964984423","https://openalex.org/W3008455288","https://openalex.org/W3009360413","https://openalex.org/W3091860120","https://openalex.org/W4385245566","https://openalex.org/W6623517193","https://openalex.org/W6630875275","https://openalex.org/W6637696809","https://openalex.org/W6638523607","https://openalex.org/W6674330103","https://openalex.org/W6679434410","https://openalex.org/W6718631636","https://openalex.org/W6739901393","https://openalex.org/W6774401643","https://openalex.org/W6774589709"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734","https://openalex.org/W2075222291"],"abstract_inverted_index":{"As":[0],"a":[1,58,97,144],"supervised":[2],"learning":[3],"method,":[4],"Factorization":[5,44,102],"Machine":[6,45,103],"(FM)":[7],"is":[8,69],"famous":[9],"for":[10,137],"its":[11],"capability":[12],"of":[13,36,53,78,89,111,161],"modeling":[14],"feature":[15,31,55,108],"interactions.":[16],"However,":[17],"FM's":[18],"performance":[19,88],"might":[20],"be":[21],"bad":[22],"if":[23],"we":[24,95,128],"assign":[25],"the":[26,51,63,76,79,83,87,90,107,124,131,138,149,159,166],"same":[27],"weight":[28],"to":[29,147],"all":[30,35],"interactions,":[32],"as":[33],"not":[34,70],"them":[37],"are":[38],"equally":[39],"useful":[40],"and":[41,73,142],"productive.":[42],"Attentional":[43],"(AFM)":[46],"improves":[47],"FM":[48],"by":[49,82],"discriminating":[50],"importance":[52],"distinctive":[54],"interactions":[56],"via":[57,117],"neural":[59,64],"attention":[60,65,112],"network.":[61],"Nevertheless,":[62],"network":[66],"in":[67,114],"AFM":[68],"fine-grained":[71],"enough":[72],"it":[74],"ignores":[75],"information":[77],"fields":[80],"implied":[81],"features,":[84],"which":[85,105],"limits":[86],"model.":[91],"In":[92],"this":[93],"work,":[94],"propose":[96],"novel":[98],"model":[99,125,132,164],"named":[100],"IO-aware":[101],"(IOFM),":[104],"enhances":[106],"representation":[109],"ability":[110],"mechanism":[113],"estimating":[115],"weights":[116],"two":[118,139,155],"awareness":[119],"auxiliary":[120,140],"matrices.":[121,151],"To":[122],"make":[123],"more":[126],"efficient,":[127],"further":[129],"reduce":[130],"parameters":[133],"using":[134],"canonical":[135],"decomposition":[136],"matrices":[141],"design":[143],"shared":[145],"matrix":[146],"correlate":[148],"decomposed":[150],"Extensive":[152],"experiments":[153],"on":[154],"real-world":[156],"datasets":[157],"indicate":[158],"superiority":[160],"our":[162],"IOFM":[163],"over":[165],"state-of-the-art":[167],"methods.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
