{"id":"https://openalex.org/W2767221212","doi":"https://doi.org/10.1145/3132847.3133137","title":"Recipe Popularity Prediction with Deep Visual-Semantic Fusion","display_name":"Recipe Popularity Prediction with Deep Visual-Semantic Fusion","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767221212","doi":"https://doi.org/10.1145/3132847.3133137","mag":"2767221212"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5086253209","display_name":"Satoshi Sanjo","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Satoshi Sanjo","raw_affiliation_strings":["Doshisha University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040938369","display_name":"Marie Katsurai","orcid":"https://orcid.org/0000-0003-4899-2427"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Marie Katsurai","raw_affiliation_strings":["Doshisha University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086253209"],"corresponding_institution_ids":["https://openalex.org/I133984924"],"apc_list":null,"apc_paid":null,"fwci":3.7295,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9421134,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2279","last_page":"2282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9987000226974487,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.9475136995315552},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8850131630897522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8265570402145386},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.6591830253601074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5827456712722778},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5604504346847534},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43988341093063354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39998283982276917},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36014923453330994},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19475549459457397}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.9475136995315552},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8850131630897522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8265570402145386},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6591830253601074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5827456712722778},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5604504346847534},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43988341093063354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39998283982276917},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36014923453330994},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19475549459457397},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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},{"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:10.1145/3132847.3133137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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":17,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2039355801","https://openalex.org/W2062261051","https://openalex.org/W2090059852","https://openalex.org/W2098178683","https://openalex.org/W2127267264","https://openalex.org/W2142306706","https://openalex.org/W2155893237","https://openalex.org/W2250473257","https://openalex.org/W2296448531","https://openalex.org/W2403015048","https://openalex.org/W2526093969","https://openalex.org/W2526198870","https://openalex.org/W2539302589","https://openalex.org/W2541385812","https://openalex.org/W2618530766","https://openalex.org/W2950133940"],"related_works":["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","https://openalex.org/W2945899969"],"abstract_inverted_index":{"Predicting":[0],"the":[1,36,68,82,100,126,139,148],"popularity":[2,55,69],"of":[3,70,141],"user-created":[4],"recipes":[5,71,123],"has":[6],"great":[7],"potential":[8],"to":[9,31,52,81,103,137],"be":[10,32],"adopted":[11],"in":[12],"several":[13,135],"applications":[14],"on":[15,35,73,99,116,119],"recipe-sharing":[16],"websites.":[17],"To":[18],"ensure":[19],"timely":[20],"prediction":[21,28],"when":[22],"a":[23,27,49,63,92,113,131],"recipe":[24,54],"is":[25,151],"uploaded,":[26],"model":[29,65],"needs":[30],"trained":[33],"based":[34,72],"recipe's":[37],"content":[38],"features":[39,102],"(i.e.,":[40],"its":[41],"visual":[42],"and":[43,85],"semantic":[44],"features).":[45],"This":[46],"paper":[47],"presents":[48],"novel":[50],"approach":[51],"predicting":[53],"using":[56],"deep":[57,64],"visual-semantic":[58],"fusion.":[59],"We":[60,77],"first":[61],"pre-train":[62],"that":[66],"predicts":[67],"each":[74],"single":[75],"modality.":[76],"insert":[78],"additional":[79],"layers":[80,98],"two":[83],"models":[84],"concatenate":[86],"their":[87],"activations.":[88],"Finally,":[89],"we":[90,129],"train":[91],"network":[93],"comprising":[94],"fully":[95],"connected":[96],"(FC)":[97],"fused":[101],"learn":[104],"more":[105,120],"powerful":[106],"features,":[107],"which":[108],"are":[109],"used":[110],"for":[111,147],"training":[112],"regressor.":[114],"Based":[115],"experiments":[117],"conducted":[118],"than":[121],"150K":[122],"collected":[124],"from":[125],"Cookpad":[127],"website,":[128],"present":[130],"comprehensive":[132],"comparison":[133],"with":[134],"baselines":[136],"verify":[138],"effectiveness":[140],"our":[142],"method.":[143],"The":[144],"best":[145],"practice":[146],"proposed":[149],"method":[150],"also":[152],"described.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
