{"id":"https://openalex.org/W4224917057","doi":"https://doi.org/10.1109/icassp43922.2022.9747251","title":"Contrastive Knowledge Graph Attention Network for Request-Based Recipe Recommendation","display_name":"Contrastive Knowledge Graph Attention Network for Request-Based Recipe Recommendation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224917057","doi":"https://doi.org/10.1109/icassp43922.2022.9747251"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747251","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5082289405","display_name":"Xiyao Ma","orcid":"https://orcid.org/0000-0002-5411-4527"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiyao Ma","raw_affiliation_strings":["Amazon Alexa AI"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101631994","display_name":"Zheng Gao","orcid":"https://orcid.org/0000-0001-5541-8840"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Gao","raw_affiliation_strings":["Amazon Alexa AI"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072517057","display_name":"Qian Hu","orcid":"https://orcid.org/0000-0002-7162-8220"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Hu","raw_affiliation_strings":["Amazon Alexa AI"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110783444","display_name":"Mohamed AbdelHady","orcid":"https://orcid.org/0000-0002-2422-0484"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Abdelhady","raw_affiliation_strings":["Amazon Alexa AI"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082289405"],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":1.3097,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82613109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3278","last_page":"3282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9641000032424927,"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/recipe","display_name":"Recipe","score":0.9437555074691772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8427631855010986},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6464977264404297},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5597201585769653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47714942693710327},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44783592224121094},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.44043824076652527},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4390818476676941},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3831416964530945},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14617019891738892},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.11969318985939026}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.9437555074691772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427631855010986},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6464977264404297},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5597201585769653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47714942693710327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44783592224121094},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.44043824076652527},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4390818476676941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3831416964530945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14617019891738892},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.11969318985939026},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747251","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W1921523184","https://openalex.org/W1985554184","https://openalex.org/W2127795553","https://openalex.org/W2140310134","https://openalex.org/W2152790380","https://openalex.org/W2157331557","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2605350416","https://openalex.org/W2803669957","https://openalex.org/W2896457183","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W3035524453","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3100278010","https://openalex.org/W3106439716","https://openalex.org/W3118699637","https://openalex.org/W3153325943","https://openalex.org/W3160106838","https://openalex.org/W3206310679","https://openalex.org/W4294068600","https://openalex.org/W6640185926","https://openalex.org/W6678830454","https://openalex.org/W6680830989","https://openalex.org/W6682948231","https://openalex.org/W6755207826","https://openalex.org/W6787586504","https://openalex.org/W6791437168"],"related_works":["https://openalex.org/W770098","https://openalex.org/W12165144","https://openalex.org/W11738893","https://openalex.org/W4972971","https://openalex.org/W7619760","https://openalex.org/W412939","https://openalex.org/W8450763","https://openalex.org/W13682356","https://openalex.org/W11244355","https://openalex.org/W9035903"],"abstract_inverted_index":{"To":[0],"improve":[1,126],"daily":[2],"customer":[3,24],"experience,":[4],"kitchen":[5],"assistant":[6],"becomes":[7],"one":[8],"of":[9,48],"the":[10,46,56,77,138,142],"enabled":[11],"service":[12],"in":[13,40,67],"intelligent":[14],"voice":[15],"assistants,":[16],"presenting":[17],"personalized":[18],"and":[19,100,119],"relevant":[20],"recipes":[21],"to":[22,125],"satisfy":[23],"requests.":[25],"Current":[26],"solutions":[27],"for":[28,87],"recipe":[29,52,64,88,101],"recommendation":[30],"suffers":[31],"from":[32,108],"two":[33,133],"limitations:":[34],"First,":[35],"user-recipe":[36],"interactions":[37],"are":[38],"modeled":[39],"a":[41,91,112],"uniform":[42],"manner,":[43],"which":[44],"neglects":[45],"diversity":[47],"user":[49,99,106,109],"preferences":[50,107],"on":[51,132],"adoptions,":[53],"inherently":[54],"hurting":[55],"model":[57,127],"performance.":[58],"Second,":[59],"users":[60],"may":[61],"interact":[62],"with":[63],"randomly,":[65],"resulting":[66],"inevitable":[68],"data":[69],"noise":[70],"issue.":[71],"In":[72],"this":[73],"work,":[74],"we":[75],"alleviate":[76],"foregoing":[78],"issues":[79],"by":[80,103],"proposing":[81],"contrastive":[82,113,121],"knowledge":[83,92],"graph":[84,93],"attention":[85],"network":[86],"recommendation,":[89],"where":[90],"attention-based":[94],"recommender":[95],"helps":[96],"learn":[97],"fine-grained":[98],"embeddings":[102],"modeling":[104],"diversified":[105],"behaviors.":[110],"Moreover,":[111],"learning":[114,122],"module":[115],"that":[116,137],"integrates":[117],"unsupervised":[118],"supervised":[120],"is":[123],"proposed":[124,139],"robustness.":[128],"The":[129],"experimental":[130],"results":[131],"real-world":[134],"datasets":[135],"show":[136],"approach":[140],"outperforms":[141],"state-of-the-art":[143],"baseline":[144],"methods.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
