{"id":"https://openalex.org/W4392607754","doi":"https://doi.org/10.1109/tmm.2024.3373255","title":"A Progressively-Passing-Then-Disentangling Approach to Recipe Recommendation","display_name":"A Progressively-Passing-Then-Disentangling Approach to Recipe Recommendation","publication_year":2024,"publication_date":"2024-03-08","ids":{"openalex":"https://openalex.org/W4392607754","doi":"https://doi.org/10.1109/tmm.2024.3373255"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3373255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3373255","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Multimedia","raw_type":"journal-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/A5104804913","display_name":"Chunlai Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlai Dong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-5143-4000","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007571956","display_name":"Haochao Ying","orcid":"https://orcid.org/0000-0001-7832-2518"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haochao Ying","raw_affiliation_strings":["State Key Laboratory of Transvascular Implantation Devices of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7832-2518","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Transvascular Implantation Devices of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103128873","display_name":"Renjun Hu","orcid":"https://orcid.org/0000-0002-1094-6890"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renjun Hu","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059391082","display_name":"Yuyang Xu","orcid":"https://orcid.org/0000-0003-4503-4098"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Xu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4503-4098","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023258354","display_name":"Jintai Chen","orcid":"https://orcid.org/0000-0002-3199-2597"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintai Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3199-2597","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0001-9170-7009"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9170-7009","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jian Wu","orcid":"https://orcid.org/0000-0002-3230-6392"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["State Key Laboratory of Transvascular Implantation Devices of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3230-6392","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Transvascular Implantation Devices of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China","institution_ids":["https://openalex.org/I4210158318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6548,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91260558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"2760","last_page":"2771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9545000195503235,"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":0.9545000195503235,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9386000037193298,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9175999760627747,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.8481225967407227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8152536153793335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32907646894454956}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.8481225967407227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152536153793335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32907646894454956},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3373255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3373255","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3867146099","display_name":null,"funder_award_id":"62106218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W68368648","https://openalex.org/W1843246605","https://openalex.org/W1971460256","https://openalex.org/W1994389483","https://openalex.org/W2054141820","https://openalex.org/W2058837810","https://openalex.org/W2124095343","https://openalex.org/W2140310134","https://openalex.org/W2166987479","https://openalex.org/W2295739661","https://openalex.org/W2604325789","https://openalex.org/W2604671115","https://openalex.org/W2605350416","https://openalex.org/W2807021761","https://openalex.org/W2842511635","https://openalex.org/W2944816792","https://openalex.org/W2945827670","https://openalex.org/W2948916521","https://openalex.org/W2977469119","https://openalex.org/W2979450518","https://openalex.org/W2995924296","https://openalex.org/W3034229012","https://openalex.org/W3035666843","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3080566854","https://openalex.org/W3085990079","https://openalex.org/W3155496675","https://openalex.org/W4221100917","https://openalex.org/W4285601291","https://openalex.org/W4295798266","https://openalex.org/W6631190155","https://openalex.org/W6738964360","https://openalex.org/W6745811123","https://openalex.org/W6755340666","https://openalex.org/W6767551140","https://openalex.org/W6775740278","https://openalex.org/W6779459370","https://openalex.org/W6791353385","https://openalex.org/W6797464607"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W258429745","https://openalex.org/W3161239248","https://openalex.org/W1584543623","https://openalex.org/W2561508161","https://openalex.org/W3195543079","https://openalex.org/W2098178683","https://openalex.org/W2740680361","https://openalex.org/W3207562294","https://openalex.org/W3187068967"],"abstract_inverted_index":{"The":[0],"increasing":[1],"popularity":[2],"of":[3,19,170,195,197,209],"online":[4],"food":[5,8,131],"blogs":[6],"and":[7,50,53,64,102,105,111,157,167,200],"ordering":[9],"services":[10],"has":[11],"made":[12],"personalized":[13],"recipe":[14,68,113,125,178],"recommendation":[15,179],"a":[16,76,84,182],"vital":[17],"aspect":[18],"our":[20,171,202],"emotional":[21],"well-being.":[22],"However,":[23],"existing":[24],"solutions,":[25],"mainly":[26],"based":[27],"on":[28,40,134],"graph":[29],"neural":[30],"networks,":[31],"still":[32],"face":[33],"significant":[34],"challenges,":[35],"such":[36],"as":[37],"(a)":[38,173],"focusing":[39],"exploiting":[41],"the":[42,59,96,165,168,176,192,207],"user-recipe":[43],"interactions":[44],"while":[45],"neglecting":[46],"other":[47],"crucial":[48],"pairwise":[49,98],"high-order":[51,124],"relationships,":[52],"(b)":[54,188],"failing":[55],"to":[56,108,127,151],"explicitly":[57,210],"distinguish":[58],"distinct":[60],"factors,":[61],"e.g.,":[62],"hedonic":[63],"healthy,":[65],"that":[66,149],"influence":[67],"selection.":[69],"To":[70],"address":[71],"these":[72,118],"issues,":[73],"we":[74,94,136],"propose":[75],"progressively-passing-then-disentangling":[77],"approach":[78,82],"named":[79],"P2D.":[80],"Our":[81],"utilizes":[83],"three-stage":[85],"progressive":[86],"message-passing":[87],"mechanism":[88],"for":[89],"better":[90],"representation":[91],"learning.":[92],"Specifically,":[93],"incorporate":[95],"extra":[97],"relationships":[99,126],"between":[100,123],"recipes":[101],"nutrients,":[103],"ingredients,":[104],"visual":[106],"contents":[107],"create":[109],"fine-grained":[110],"multimodal":[112],"representations.":[114],"We":[115],"next":[116],"refine":[117],"representations":[119],"via":[120],"message":[121],"passing":[122],"learn":[128],"people's":[129],"shared":[130],"preferences.":[132],"Based":[133],"them,":[135],"could":[137],"derive":[138],"comprehensive":[139],"user":[140],"representations,":[141],"which":[142],"are":[143],"subsequently":[144],"transformed":[145],"into":[146],"disentangled":[147],"forms":[148],"correspond":[150],"various":[152,186],"decision":[153,212],"factors":[154],"through":[155],"contrastive":[156],"mutual":[158],"information":[159],"regularization.":[160],"Experimental":[161],"results":[162],"demonstrate":[163],"both":[164],"superiority":[166],"rationality":[169],"method:":[172],"P2D":[174],"outperforms":[175],"state-of-the-art":[177],"methods":[180],"by":[181],"large":[183],"margin":[184],"under":[185],"metrics,":[187],"ablation":[189],"studies":[190],"confirm":[191],"positive":[193],"impact":[194],"each":[196],"its":[198],"components,":[199],"(c)":[201],"visualization":[203],"analysis":[204],"empirically":[205],"supports":[206],"advantage":[208],"disentangling":[211],"factors.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
