{"id":"https://openalex.org/W3090382531","doi":"https://doi.org/10.1155/2020/7945417","title":"Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems","display_name":"Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3090382531","doi":"https://doi.org/10.1155/2020/7945417","mag":"3090382531"},"language":"en","primary_location":{"id":"doi:10.1155/2020/7945417","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/7945417","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/7945417.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/7945417.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101837841","display_name":"Fei Long","orcid":"https://orcid.org/0000-0002-7948-0195"},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Long","raw_affiliation_strings":["School of Economics and Management, Changsha University, Changsha 410003, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Changsha University, Changsha 410003, China","institution_ids":["https://openalex.org/I198357462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101837841"],"corresponding_institution_ids":["https://openalex.org/I198357462"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17732098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"11"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9343000054359436,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.914900004863739,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8212200403213501},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7985317707061768},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.6602363586425781},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5634806752204895},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5275313854217529},{"id":"https://openalex.org/keywords/graph-algorithms","display_name":"Graph algorithms","score":0.4915207326412201},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4869998097419739},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.387067973613739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3542301654815674},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3408748507499695},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24627304077148438},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24328619241714478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212200403213501},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7985317707061768},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6602363586425781},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5634806752204895},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5275313854217529},{"id":"https://openalex.org/C2986651925","wikidata":"https://www.wikidata.org/wiki/Q1514868","display_name":"Graph algorithms","level":3,"score":0.4915207326412201},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4869998097419739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.387067973613739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3542301654815674},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3408748507499695},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24627304077148438},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24328619241714478},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/7945417","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/7945417","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/7945417.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:01569d98de984e03b86ec5ceb36018b3","is_oa":true,"landing_page_url":"https://doaj.org/article/01569d98de984e03b86ec5ceb36018b3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2020/7945417","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/7945417","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2020/7945417","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/7945417","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/7945417.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090382531.pdf","grobid_xml":"https://content.openalex.org/works/W3090382531.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1228575997","https://openalex.org/W2006552647","https://openalex.org/W2019576330","https://openalex.org/W2051496548","https://openalex.org/W2081443645","https://openalex.org/W2083173691","https://openalex.org/W2279190967","https://openalex.org/W2338111232","https://openalex.org/W2342935467","https://openalex.org/W2589942336","https://openalex.org/W2786423589","https://openalex.org/W2834662706","https://openalex.org/W2889199783","https://openalex.org/W2910698188","https://openalex.org/W2912005837","https://openalex.org/W2951377187","https://openalex.org/W2957065257","https://openalex.org/W2963765725","https://openalex.org/W2965055016","https://openalex.org/W2968764184","https://openalex.org/W2973126236","https://openalex.org/W2988751033","https://openalex.org/W3101366597","https://openalex.org/W6903191541"],"related_works":["https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W1575740715","https://openalex.org/W1549403601","https://openalex.org/W2497510784","https://openalex.org/W2078352417","https://openalex.org/W4200403046","https://openalex.org/W4252183363","https://openalex.org/W2787177576","https://openalex.org/W2418053903"],"abstract_inverted_index":{"With":[0],"the":[1,7,38,41,51,58,65,68,71,75,80,83,88,93,99,107,114],"rapid":[2],"development":[3],"of":[4,34,40,67,82,95],"information":[5,8,18],"technology,":[6],"overload":[9],"has":[10],"become":[11],"a":[12,32,44],"very":[13],"serious":[14],"problem":[15,39],"in":[16,61,125],"web":[17],"environment.":[19],"The":[20,102],"personalized":[21,100],"recommendation":[22,47,69,110,123,126],"came":[23],"into":[24],"being.":[25],"Current":[26],"recommending":[27],"algorithms,":[28],"however,":[29],"are":[30],"facing":[31],"series":[33],"challenges.":[35],"To":[36],"solve":[37],"complex":[42,62],"context,":[43],"new":[45],"context":[46,109],"algorithm":[48,111],"based":[49,112],"on":[50,113],"tripartite":[52,115],"graph":[53,116],"model":[54,60,117],"is":[55,118],"proposed":[56,108],"for":[57],"three-dimensional":[59],"systems.":[63],"Improving":[64],"accuracy":[66,89],"by":[70],"material":[72],"diffusion,":[73],"through":[74,92],"heat":[76],"conduction":[77],"to":[78,120],"improve":[79],"diversity":[81,91],"recommended":[84],"objects,":[85],"and":[86,90],"balancing":[87],"integration":[94],"resources":[96],"thus":[97],"realize":[98],"recommendation.":[101],"experimental":[103],"results":[104],"show":[105],"that":[106],"superior":[119],"other":[121],"traditional":[122],"algorithms":[124],"performance.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}