{"id":"https://openalex.org/W2117609310","doi":"https://doi.org/10.1145/2638728.2641326","title":"Discriminating practical recipes based on content characteristics in popular social recipes","display_name":"Discriminating practical recipes based on content characteristics in popular social recipes","publication_year":2014,"publication_date":"2014-09-13","ids":{"openalex":"https://openalex.org/W2117609310","doi":"https://doi.org/10.1145/2638728.2641326","mag":"2117609310"},"language":"en","primary_location":{"id":"doi:10.1145/2638728.2641326","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2638728.2641326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","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/A5078878706","display_name":"Yohei Seki","orcid":"https://orcid.org/0000-0001-6388-1480"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yohei Seki","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109414796","display_name":"Kouta Ono","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouta Ono","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078878706"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":4.0902,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.94459476,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9973000288009644,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9973000288009644,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9330000281333923,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9284999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.9191696643829346},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.9045779705047607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344274520874023},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5883277058601379},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5227201581001282},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.49241459369659424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4605715572834015},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.41534388065338135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39708009362220764},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36987102031707764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11446329951286316}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.9191696643829346},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9045779705047607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344274520874023},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5883277058601379},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5227201581001282},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.49241459369659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4605715572834015},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.41534388065338135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39708009362220764},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36987102031707764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11446329951286316},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2638728.2641326","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2638728.2641326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.941.5589","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.941.5589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ubicomp.org/ubicomp2014/proceedings/ubicomp_adjunct/workshops/CEA/p487-seki.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W104683736","https://openalex.org/W118851260","https://openalex.org/W1972439722","https://openalex.org/W2107598941","https://openalex.org/W3010078607"],"related_works":["https://openalex.org/W258429745","https://openalex.org/W3161239248","https://openalex.org/W2561508161","https://openalex.org/W3195543079","https://openalex.org/W2098178683","https://openalex.org/W2604742737","https://openalex.org/W3021194804","https://openalex.org/W4386893202","https://openalex.org/W2596763562","https://openalex.org/W2964218010"],"abstract_inverted_index":{"Recipe":[0],"websites":[1],"sometimes":[2],"contain":[3],"vast":[4],"collections":[5],"of":[6,57,67,79,85,111,120,123,127],"recipes,":[7],"making":[8],"it":[9],"time-consuming":[10],"for":[11],"users":[12,27],"to":[13,25,39,71,91],"identify":[14],"recipes":[15,59],"that":[16,36,105,116],"might":[17],"suit":[18],"them.":[19],"In":[20],"this":[21],"study,":[22],"we":[23],"aim":[24],"support":[26],"in":[28],"their":[29],"recipe":[30],"selection":[31],"by":[32],"discriminating":[33],"\"practical":[34],"recipes\"":[35],"are":[37],"easy":[38],"understand,":[40],"written":[41],"concisely":[42],"with":[43],"sufficient":[44],"description,":[45],"and":[46,50,69,83],"offer":[47],"detailed":[48],"tips":[49],"pointers.":[51],"We":[52,95],"performed":[53],"a":[54,98,112,133,137],"content":[55,74],"analysis":[56],"popular":[58],"found":[60],"on":[61,64,101],"Cookpad,":[62],"focusing":[63],"ten":[65,125],"types":[66,126],"dishes,":[68],"decided":[70],"use":[72],"seven":[73],"characteristics,":[75],"such":[76],"as":[77,89],"\"description":[78,84],"the":[80,86,117,121,124],"heat":[81],"level\"":[82],"cooking":[87],"time,\"":[88],"features":[90],"discriminate":[92],"practical":[93],"recipes.":[94],"have":[96],"implemented":[97],"discriminator":[99],"based":[100],"an":[102],"SVM":[103],"classifier":[104],"uses":[106],"these":[107],"features.":[108],"The":[109],"results":[110],"discrimination":[113],"experiment":[114],"show":[115],"mean":[118],"value":[119],"accuracy":[122],"dishes":[128],"is":[129],"0.813.":[130],"This":[131],"represents":[132],"significant":[134],"difference":[135],"from":[136],"baseline":[138],"discriminator.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
