{"id":"https://openalex.org/W1608743844","doi":"https://doi.org/10.1109/cybconf.2015.7175946","title":"A Chinese dishes recommendation algorithm based on personal taste","display_name":"A Chinese dishes recommendation algorithm based on personal taste","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1608743844","doi":"https://doi.org/10.1109/cybconf.2015.7175946","mag":"1608743844"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2015.7175946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090504888","display_name":"Ningxuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningxuan He","raw_affiliation_strings":["Beijing University of Post and Telecommunications Beijing, China","[Beijing University of Post and Telecommunications, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Post and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"[Beijing University of Post and Telecommunications, China]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705472","display_name":"Mengyuan Liu","orcid":"https://orcid.org/0000-0002-6332-8316"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Liu","raw_affiliation_strings":["Beijing University of Post and Telecommunications Beijing, China","[Beijing University of Post and Telecommunications, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Post and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"[Beijing University of Post and Telecommunications, China]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329778","display_name":"Fang Zhao","orcid":"https://orcid.org/0000-0002-4784-5778"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zhao","raw_affiliation_strings":["Beijing University of Post and Telecommunications Beijing, China","[Beijing University of Post and Telecommunications, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Post and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"[Beijing University of Post and Telecommunications, China]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"277","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9233999848365784,"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/T11106","display_name":"Data Management and Algorithms","score":0.9035000205039978,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/taste","display_name":"Taste","score":0.8330495357513428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5921722054481506},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5555298924446106},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5434792637825012},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5286595821380615},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4551503658294678},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4191031754016876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3380237817764282},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2681795358657837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2612909972667694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18102982640266418},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.12022632360458374},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.11248451471328735},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09976071119308472}],"concepts":[{"id":"https://openalex.org/C8868529","wikidata":"https://www.wikidata.org/wiki/Q124794","display_name":"Taste","level":2,"score":0.8330495357513428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5921722054481506},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5555298924446106},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5434792637825012},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5286595821380615},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4551503658294678},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4191031754016876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3380237817764282},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2681795358657837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2612909972667694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18102982640266418},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.12022632360458374},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.11248451471328735},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09976071119308472},{"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/cybconf.2015.7175946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1963834128","https://openalex.org/W1968116852","https://openalex.org/W2000804630","https://openalex.org/W2043403353","https://openalex.org/W2095632578","https://openalex.org/W2119432085","https://openalex.org/W2130020882","https://openalex.org/W2150598464","https://openalex.org/W2164361866","https://openalex.org/W2320229130"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W3125580266","https://openalex.org/W44246808","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"There":[0],"are":[1,74],"few":[2],"Chinese":[3,12],"dish":[4],"recommendation":[5],"algorithms":[6],"due":[7],"to":[8,18,46,76,81],"the":[9,28,31,42,56,63,67,78,82],"variety":[10],"of":[11,33,58,69],"dishes.":[13],"It":[14],"could":[15],"be":[16],"impossible":[17],"find":[19],"one's":[20,48],"most":[21],"liked":[22],"dishes":[23,79],"in":[24,38,85],"a":[25,34],"restaurant":[26],"through":[27],"name":[29],"or":[30],"ingredients":[32],"dish.":[35],"The":[36],"algorithm":[37],"this":[39],"paper":[40],"uses":[41],"user's":[43,59,70,83],"ordering":[44],"history":[45],"quantify":[47],"taste":[49,84],"by":[50,62],"k-means":[51],"clustering":[52],"method":[53],"and":[54],"determines":[55],"number":[57],"favorite":[60],"tastes":[61],"BWP":[64],"index.":[65],"With":[66],"knowledge":[68],"tastes,":[71],"screen":[72],"matrix":[73],"used":[75],"rank":[77],"according":[80],"any":[86],"restaurant.":[87]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}