{"id":"https://openalex.org/W7134884994","doi":"https://doi.org/10.48550/arxiv.2603.09688","title":"Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation","display_name":"Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134884994","doi":"https://doi.org/10.48550/arxiv.2603.09688"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09688","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.09688","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128351043","display_name":"Denica Kjorvezir","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kjorvezir, Denica","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093630890","display_name":"D. Najkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Najkov, Danilo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085766503","display_name":"Eva Valen\u010di\u010d","orcid":"https://orcid.org/0000-0001-8560-920X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valenci\u010d, Eva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018555847","display_name":"Erika Jesenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jesenko, Erika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128793741","display_name":"Barbara Korou\u0161i'c Seljak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seljak, Barbara Koroi\u0161i\u0107","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eftimov, Tome","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5085234316","display_name":"Riste Stojanov","orcid":"https://orcid.org/0000-0003-2067-3467"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stojanov, Riste","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.329800009727478,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.329800009727478,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12057","display_name":"Consumer Attitudes and Food Labeling","score":0.23680000007152557,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13984","display_name":"Nutrition, Genetics, and Disease","score":0.21570000052452087,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.9355000257492065},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7523000240325928},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.694599986076355},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4372999966144562},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4185999929904938},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.9355000257492065},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7523000240325928},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.694599986076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028000116348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47920000553131104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44020000100135803},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4372999966144562},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38089999556541443},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.2879999876022339},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09688","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.09688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09688","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"research":[1],"focuses":[2],"on":[3,65],"developing":[4],"advanced":[5],"methods":[6,92],"for":[7],"assessing":[8],"similarity":[9,28,56,78],"between":[10],"recipes":[11],"by":[12],"combining":[13],"different":[14],"sources":[15],"of":[16,29,36,70,76,90,104],"information":[17],"and":[18,26,40,100,109],"analytical":[19],"approaches.":[20],"We":[21],"explore":[22],"the":[23,34,54,74,97,102],"semantic,":[24,80],"lexical,":[25],"domain":[27,50],"food":[30,98],"recipes,":[31],"evaluated":[32],"through":[33],"analysis":[35],"ingredients,":[37],"preparation":[38],"methods,":[39],"nutritional":[41],"attributes.":[42],"A":[43],"web-based":[44],"interface":[45],"was":[46],"developed":[47],"to":[48,52],"allow":[49],"experts":[51,63],"validate":[53],"combined":[55],"results.":[57],"After":[58],"evaluating":[59],"318":[60],"recipe":[61,111],"pairs,":[62],"agreed":[64],"255":[66],"(80%).":[67],"The":[68,88],"evaluation":[69],"expert":[71,86],"assessments":[72],"enables":[73],"estimation":[75],"which":[77],"aspects--lexical,":[79],"or":[81],"nutritional--are":[82],"most":[83],"influential":[84],"in":[85,96],"decision-making.":[87],"application":[89],"these":[91],"has":[93],"broad":[94],"implications":[95],"industry":[99],"supports":[101],"development":[103],"personalized":[105],"diets,":[106],"nutrition":[107],"recommendations,":[108],"automated":[110],"generation":[112],"systems.":[113]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-12T00:00:00"}
