{"id":"https://openalex.org/W2974146195","doi":"https://doi.org/10.1109/access.2019.2941994","title":"High-Order Factorization Machine Based on Cross Weights Network for Recommendation","display_name":"High-Order Factorization Machine Based on Cross Weights Network for Recommendation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974146195","doi":"https://doi.org/10.1109/access.2019.2941994","mag":"2974146195"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2941994","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941994","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08840886.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08840886.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058924629","display_name":"Weina Zhang","orcid":"https://orcid.org/0000-0002-9361-847X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weina Zhang","raw_affiliation_strings":["Guangzhou Higher Education Mega Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9361-847X","affiliations":[{"raw_affiliation_string":"Guangzhou Higher Education Mega Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052689516","display_name":"Xingming Zhang","orcid":"https://orcid.org/0000-0002-8139-0156"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingming Zhang","raw_affiliation_strings":["Guangzhou Higher Education Mega Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Higher Education Mega Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101687639","display_name":"Haoxiang Wang","orcid":"https://orcid.org/0000-0003-4474-838X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxiang Wang","raw_affiliation_strings":["Guangzhou Higher Education Mega Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4474-838X","affiliations":[{"raw_affiliation_string":"Guangzhou Higher Education Mega Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"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":1.058,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83902634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"145746","last_page":"145756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/pooling","display_name":"Pooling","score":0.7948601245880127},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.776515007019043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290972471237183},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5345479846000671},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5310801863670349},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5092445611953735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4952360689640045},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34297695755958557},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3373141884803772}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7948601245880127},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.776515007019043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290972471237183},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5345479846000671},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5310801863670349},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5092445611953735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4952360689640045},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34297695755958557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3373141884803772},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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},{"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/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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2941994","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941994","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08840886.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:553976f72b344738b6725641027b0a81","is_oa":true,"landing_page_url":"https://doaj.org/article/553976f72b344738b6725641027b0a81","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 7, Pp 145746-145756 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2941994","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941994","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08840886.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G5226260069","display_name":null,"funder_award_id":"2017B010111003","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974146195.pdf","grobid_xml":"https://content.openalex.org/works/W2974146195.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1714176656","https://openalex.org/W1850494429","https://openalex.org/W1994389483","https://openalex.org/W2002834872","https://openalex.org/W2055079831","https://openalex.org/W2094286023","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2100495367","https://openalex.org/W2122090912","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2143612262","https://openalex.org/W2157881433","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2219888463","https://openalex.org/W2270277444","https://openalex.org/W2295739661","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2505972586","https://openalex.org/W2508504774","https://openalex.org/W2508935523","https://openalex.org/W2509235963","https://openalex.org/W2517540742","https://openalex.org/W2528611098","https://openalex.org/W2528907418","https://openalex.org/W2550553598","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2741249238","https://openalex.org/W2783715804","https://openalex.org/W2792972196","https://openalex.org/W2793768763","https://openalex.org/W2909555347","https://openalex.org/W2910894932","https://openalex.org/W2915695037","https://openalex.org/W2951001079","https://openalex.org/W2963323306","https://openalex.org/W2963924287","https://openalex.org/W2964052347","https://openalex.org/W2964121744","https://openalex.org/W2964182926","https://openalex.org/W2964325980","https://openalex.org/W3104030692","https://openalex.org/W4229706427","https://openalex.org/W4295910374","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637696809","https://openalex.org/W6674330103","https://openalex.org/W6677671969","https://openalex.org/W6680830989","https://openalex.org/W6684191040","https://openalex.org/W6724478308","https://openalex.org/W6747846959","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Factorization":[0,60],"machines":[1,35],"are":[2,45,156],"important":[3,144],"methods":[4],"for":[5,80],"discovering":[6],"complex":[7,151],"and":[8,67,100,115,187],"evolving":[9],"relationships":[10],"among":[11],"data":[12,22],"entities":[13],"by":[14,134],"crafting":[15],"combinatorial":[16],"features":[17,146],"automatically.":[18],"Because":[19],"of":[20,96,109,122,128,167,184],"good":[21],"representation":[23],"ability,":[24],"recently":[25],"Deep":[26],"Neural":[27],"Networks":[28],"(DNNs)":[29],"have":[30,173],"been":[31],"applied":[32],"to":[33,36,163],"factorization":[34,55,72],"learn":[37,119],"high-order":[38,69],"interactions.":[39],"However,":[40],"the":[41,94,106,135,143,150,165,168,178],"interactions":[42,124],"with":[43],"DNNs":[44],"generated":[46],"implicitly.":[47],"In":[48,112],"this":[49],"paper,":[50],"we":[51,78],"propose":[52],"a":[53],"novel":[54],"machine":[56],"named":[57],"High-order":[58],"Cross":[59,87],"Machine":[61],"(HCFM),":[62],"which":[63,103],"is":[64,82],"an":[65,83],"efficient":[66],"explicit":[68,84],"feature":[70,98,123],"interaction":[71,101,129,145,152],"machine.":[73],"The":[74,170],"main":[75],"component":[76],"that":[77],"design":[79],"HCFM":[81],"cross":[85,114],"network:":[86],"Weights":[88],"Network":[89],"(CWN).":[90],"CWN":[91,139],"considers":[92],"both":[93,185],"weights":[95,121,127,136],"different":[97,120],"combinations":[99],"orders,":[102],"can":[104,118,131],"capture":[105],"inherent":[107],"correlations":[108],"real-word":[110],"data.":[111],"CWN,":[113],"compression":[116],"layers":[117],"efficiently.":[125],"Different":[126],"orders":[130],"be":[132],"learned":[133],"pooling":[137],"layer.":[138],"not":[140],"only":[141],"retains":[142],"but":[147],"also":[148],"avoids":[149],"computations.":[153],"Comprehensive":[154],"experiments":[155],"conducted":[157],"on":[158],"three":[159],"real-world":[160],"recommendation":[161],"datasets":[162],"verify":[164],"validity":[166],"model.":[169],"experiment":[171],"results":[172],"demonstrated":[174],"its":[175],"superiority":[176],"over":[177],"other":[179],"state-of-art":[180],"algorithms,":[181],"in":[182],"terms":[183],"accuracy":[186],"space":[188],"complexity.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}