{"id":"https://openalex.org/W4388451006","doi":"https://doi.org/10.1109/access.2023.3330779","title":"Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization","display_name":"Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388451006","doi":"https://doi.org/10.1109/access.2023.3330779"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3330779","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3330779","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310141.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310141.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061277864","display_name":"Yu Geng","orcid":"https://orcid.org/0000-0002-3729-5477"},"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":"Yu Geng","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3729-5477","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","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":["Department of Interactive Media, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","Department of Interactive Media, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0427-977X","affiliations":[{"raw_affiliation_string":"Department of Interactive Media, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Interactive Media, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022791783","display_name":"William K. Cheung","orcid":"https://orcid.org/0000-0002-7428-2050"},"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":"William K. Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7428-2050","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25118177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"128633","last_page":"128643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.996999979019165,"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/T10028","display_name":"Topic Modeling","score":0.9957000017166138,"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":0.7642152309417725},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5591379404067993},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5295147895812988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5239001512527466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3432310223579407},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3421388864517212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3209840655326843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30717065930366516},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10700467228889465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642152309417725},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5591379404067993},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5295147895812988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5239001512527466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3432310223579407},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3421388864517212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3209840655326843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30717065930366516},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10700467228889465}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3330779","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3330779","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310141.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1f59538ca1fd4f67bdb44480f5d86141","is_oa":true,"landing_page_url":"https://doaj.org/article/1f59538ca1fd4f67bdb44480f5d86141","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 128633-128643 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3330779","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3330779","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310141.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G735266265","display_name":null,"funder_award_id":"RMGS2021_8_06","funder_id":"https://openalex.org/F4320329815","funder_display_name":"Hong Kong Government"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320329815","display_name":"Hong Kong Government","ror":"https://ror.org/034179816"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388451006.pdf","grobid_xml":"https://content.openalex.org/works/W4388451006.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1520511539","https://openalex.org/W1678889691","https://openalex.org/W2089349245","https://openalex.org/W2094286023","https://openalex.org/W2095895508","https://openalex.org/W2118585731","https://openalex.org/W2143570267","https://openalex.org/W2146502635","https://openalex.org/W2171279286","https://openalex.org/W2242818861","https://openalex.org/W2295739661","https://openalex.org/W2300242332","https://openalex.org/W2523246573","https://openalex.org/W2604662567","https://openalex.org/W2741530248","https://openalex.org/W2741914399","https://openalex.org/W2904154596","https://openalex.org/W2920823747","https://openalex.org/W2963207245","https://openalex.org/W2963323306","https://openalex.org/W2964052347","https://openalex.org/W4239510810","https://openalex.org/W6674478206","https://openalex.org/W6677656871","https://openalex.org/W6679809621","https://openalex.org/W6681363145","https://openalex.org/W6681435938","https://openalex.org/W6690026940","https://openalex.org/W6693397755","https://openalex.org/W6713924447","https://openalex.org/W6727249380","https://openalex.org/W6759001517","https://openalex.org/W6760526021"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2950281908","https://openalex.org/W2963117165","https://openalex.org/W2084977674","https://openalex.org/W2583828359","https://openalex.org/W3102011585","https://openalex.org/W2037667647","https://openalex.org/W2954309532"],"abstract_inverted_index":{"Factorization":[0,30],"Machines":[1],"(FM)":[2],"is":[3,33,40,94],"a":[4,69,122,170,215],"general":[5],"predictor":[6],"that":[7,184],"can":[8,131,143,186,212],"efficiently":[9,133],"model":[10,118],"feature":[11,49,56],"interactions":[12,57],"in":[13,115,214],"linear":[14],"time,":[15],"and":[16,25,55,129,205,218],"thus":[17,130],"has":[18,68],"been":[19],"broadly":[20],"used":[21],"for":[22,51,100],"regression,":[23],"classification":[24,178,222],"ranking":[26],"tasks.":[27],"Subspace":[28],"Encoding":[29],"Machine":[31],"(SEFM)":[32],"one":[34,136],"of":[35,72,77,97,108,172,221],"the":[36,74,95,101,105,145,200],"recent":[37],"approaches":[38],"which":[39,116,142],"proposed":[41,146,167],"to":[42],"enhance":[43],"FM\u2019s":[44],"effectiveness":[45],"by":[46,79],"explicit":[47],"nonlinear":[48],"mapping":[50],"both":[52],"individual":[53],"features":[54],"through":[58],"equal-width":[59],"binning":[60,210],"per":[61],"input":[62],"feature.":[63],"SEFM,":[64,109,204],"despite":[65],"its":[66],"effectiveness,":[67],"major":[70],"drawback":[71],"increasing":[73],"memory":[75,106,195],"cost":[76,107],"FM":[78,113,147],"<inline-formula":[80,88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81,89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[82,90],"<tex-math":[83,91],"notation=\"LaTeX\">$b$":[84,92],"</tex-math></inline-formula>":[85,93],"times":[86],"where":[87],"number":[96,171],"bins":[98],"adopted":[99],"binning.":[102],"To":[103],"reduce":[104],"we":[110,164],"propose":[111],"Binarized":[112],"(BiFM)":[114],"each":[117],"parameter":[119],"takes":[120],"only":[121],"binary":[123,149],"value":[124],"(i.e.,":[125],"1":[126],"or":[127],"\u22121)":[128],"be":[132],"stored":[134],"using":[135,151],"bit.":[137],"We":[138],"derive":[139],"an":[140],"algorithm":[141],"learn":[144],"with":[148,156,169,207],"constraints":[150],"Straight":[152],"Through":[153],"Estimator":[154],"(STE)":[155],"Adaptive":[157],"Gradient":[158],"Descent":[159],"(Adagrad).":[160],"For":[161],"performance":[162],"evaluation,":[163],"compare":[165],"our":[166],"methods":[168,211],"baselines":[173],"based":[174],"on":[175],"eight":[176],"different":[177],"datasets.":[179],"Our":[180],"experimental":[181],"results":[182],"demonstrated":[183],"BiFM":[185,197],"achieve":[187],"higher":[188],"accuracy":[189],"than":[190],"SEFM":[191],"at":[192],"much":[193],"less":[194],"cost.":[196],"also":[198],"inherits":[199],"interpretability":[201],"property":[202],"from":[203],"together":[206],"adaptive":[208],"data":[209],"result":[213],"more":[216],"compact":[217],"interpretable":[219],"set":[220],"rules.":[223]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}