{"id":"https://openalex.org/W2904154596","doi":"https://doi.org/10.1609/aaai.v33i01.33014139","title":"Accurate and Interpretable Factorization Machines","display_name":"Accurate and Interpretable Factorization Machines","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904154596","doi":"https://doi.org/10.1609/aaai.v33i01.33014139","mag":"2904154596"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33014139","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014139","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33014139","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069308334","display_name":"Liang Lan","orcid":"https://orcid.org/0000-0002-0427-977X"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liang Lan","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061277864","display_name":"Yu Geng","orcid":"https://orcid.org/0000-0002-3729-5477"},"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":"Yu Geng","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0637,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82097619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"33","issue":"01","first_page":"4139","last_page":"4146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9975000023841858,"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/T10320","display_name":"Neural Networks and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6836032867431641},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6328681707382202},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6136184930801392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5653472542762756},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5393893718719482},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5315565466880798},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5080626010894775},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5076738595962524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4956315755844116},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49255046248435974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45312196016311646},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4273591637611389},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.41447246074676514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2103951871395111},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2094903588294983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07780295610427856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836032867431641},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6328681707382202},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6136184930801392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5653472542762756},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5393893718719482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5315565466880798},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5080626010894775},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5076738595962524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4956315755844116},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49255046248435974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45312196016311646},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4273591637611389},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.41447246074676514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2103951871395111},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2094903588294983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07780295610427856},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33014139","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014139","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4315","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4315","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4315/4193","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014139","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014139","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W205960552","https://openalex.org/W1521958187","https://openalex.org/W1993973308","https://openalex.org/W2046945713","https://openalex.org/W2095895508","https://openalex.org/W2118585731","https://openalex.org/W2143570267","https://openalex.org/W2149033360","https://openalex.org/W2282821441","https://openalex.org/W2295739661","https://openalex.org/W2516809705","https://openalex.org/W2741914399","https://openalex.org/W2787881900","https://openalex.org/W2788199784","https://openalex.org/W2798857668","https://openalex.org/W2912728463","https://openalex.org/W2962824341","https://openalex.org/W2963365341","https://openalex.org/W3120421331","https://openalex.org/W4239510810","https://openalex.org/W6677656871","https://openalex.org/W6697546013","https://openalex.org/W6741884070","https://openalex.org/W6821113053"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394"],"abstract_inverted_index":{"Factorization":[0,80],"Machines":[1,81],"(FMs),":[2],"a":[3,74,132,135,157],"general":[4],"predictor":[5],"that":[6,146,180],"can":[7,116],"efficiently":[8,184],"model":[9,130],"high-order":[10],"feature":[11,40,92,101],"interactions,":[12],"have":[13],"been":[14],"widely":[15],"used":[16],"for":[17,131],"regression,":[18],"classification":[19],"and":[20,143,165,187],"ranking":[21],"problems.":[22],"However,":[23],"despite":[24],"many":[25],"successful":[26],"applications":[27],"of":[28,35,99,127,137,140],"FMs,":[29],"there":[30],"are":[31],"two":[32,86],"main":[33],"limitations":[34,87],"FMs:":[36],"(1)":[37],"FMs":[38,61,114],"consider":[39],"interactions":[41],"among":[42],"input":[43],"features":[44],"by":[45,88],"using":[46,89],"only":[47,161],"polynomial":[48],"expansion":[49],"which":[50,160],"fail":[51],"to":[52,67,83,95],"capture":[53,117],"complex":[54,119],"nonlinear":[55,120],"patterns":[56],"in":[57,150],"data.":[58],"(2)":[59],"Existing":[60],"do":[62],"not":[63],"provide":[64],"interpretable":[65,174,188],"prediction":[66,125],"users.":[68],"In":[69],"this":[70,147],"paper,":[71],"we":[72],"present":[73],"novel":[75],"method":[76,105,171,183],"named":[77],"Subspace":[78],"Encoding":[79],"(SEFM)":[82],"overcome":[84],"these":[85],"non-parametric":[90],"subspace":[91],"mapping.":[93],"Due":[94],"the":[96,107,112,124,141],"high":[97],"sparsity":[98],"new":[100],"representation,":[102],"our":[103,128,169,181],"proposed":[104,129,170,182],"achieves":[106],"same":[108],"time":[109],"complexity":[110],"as":[111],"standard":[113],"but":[115],"more":[118],"patterns.":[121],"Moreover,":[122],"since":[123],"score":[126,166],"sample":[133,148],"is":[134],"sum":[136],"contribution":[138],"scores":[139],"bins":[142],"grid":[144],"cells":[145],"lies":[149],"low-dimensional":[151],"subspaces,":[152],"it":[153],"works":[154],"similar":[155],"like":[156],"scoring":[158],"system":[159],"involves":[162],"data":[163],"binning":[164],"addition.":[167],"Therefore,":[168],"naturally":[172],"provides":[173,185],"prediction.":[175,189],"Our":[176],"experimental":[177],"results":[178],"demonstrate":[179],"accurate":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
