{"id":"https://openalex.org/W2897686196","doi":"https://doi.org/10.1145/3207677.3278022","title":"Collaborative Filtering Recommendation Algorithm Based on Social Relation and Geographic Information","display_name":"Collaborative Filtering Recommendation Algorithm Based on Social Relation and Geographic Information","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2897686196","doi":"https://doi.org/10.1145/3207677.3278022","mag":"2897686196"},"language":"en","primary_location":{"id":"doi:10.1145/3207677.3278022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3278022","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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/A5035633689","display_name":"Dongni Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongni Ma","raw_affiliation_strings":["College of computer science and technology, Jilin University, Qianjin Avenue, Changchun City, China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Jilin University, Qianjin Avenue, Changchun City, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064573351","display_name":"Liyan Dong","orcid":"https://orcid.org/0000-0001-7491-5893"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Dong","raw_affiliation_strings":["College of computer science and technology, Jilin University, Qianjin Avenue, Changchun City, China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Jilin University, Qianjin Avenue, Changchun City, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036898190","display_name":"Kelu Li","orcid":"https://orcid.org/0000-0002-3111-0523"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kelu Li","raw_affiliation_strings":["College of computer science and technology, Jilin University, Qianjin Avenue, Changchun City, China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Jilin University, Qianjin Avenue, Changchun City, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035633689"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.7641,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75514139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9337000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.8235353827476501},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7834594249725342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541851997375488},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6789974570274353},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5907517671585083},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5283889174461365},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5241454243659973},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.519522488117218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5018956661224365},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4759516417980194},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42779096961021423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32518917322158813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2747265100479126},{"id":"https://openalex.org/keywords/complementation","display_name":"Complementation","score":0.09455546736717224}],"concepts":[{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.8235353827476501},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7834594249725342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541851997375488},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6789974570274353},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5907517671585083},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5283889174461365},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5241454243659973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.519522488117218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5018956661224365},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4759516417980194},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42779096961021423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32518917322158813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2747265100479126},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.09455546736717224},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3207677.3278022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3278022","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W124798795","https://openalex.org/W1855246647","https://openalex.org/W1940554450","https://openalex.org/W1965757506","https://openalex.org/W1971498918","https://openalex.org/W2025605741","https://openalex.org/W2029664628","https://openalex.org/W2031305127","https://openalex.org/W2035463970","https://openalex.org/W2042505276","https://openalex.org/W2042602494","https://openalex.org/W2046974451","https://openalex.org/W2055956463","https://openalex.org/W2061572266","https://openalex.org/W2075074577","https://openalex.org/W2082897135","https://openalex.org/W2124608575","https://openalex.org/W2139809240","https://openalex.org/W2142466236","https://openalex.org/W2231571400","https://openalex.org/W2244405900","https://openalex.org/W2472219912","https://openalex.org/W2545577367","https://openalex.org/W2549180152","https://openalex.org/W2786733643","https://openalex.org/W4256361765"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Collaborative1":[0],"filtering":[1,26],"algorithm":[2,27,39,115,118,131],"has":[3],"such":[4],"problems":[5],"as":[6],"sparsity":[7],"of":[8,15,32,55,66,90,97,113,140],"raw":[9],"data,":[10],"low":[11,141,146],"efficiency":[12,109],"and":[13,35,62,93,110,123,134,145],"accuracy":[14,96,112],"recommendation.":[16],"To":[17],"solve":[18],"the":[19,24,42,47,53,56,64,67,72,78,88,95,107,114,124,129,138],"problems,":[20],"this":[21],"paper":[22],"proposed":[23],"collaborative":[25],"based":[28],"on":[29],"complementary":[30],"conditions":[31],"social":[33,43],"relationship":[34],"geographic":[36,74],"information.":[37],"The":[38,117],"firstly":[40],"introduced":[41],"relation":[44],"data":[45,92,143],"into":[46],"matrix":[48,61],"complementation":[49],"process,":[50],"which":[51,86,105],"reduces":[52],"sparseness":[54,144],"original":[57,142],"user":[58],"item":[59],"scoring":[60],"enhances":[63],"authenticity":[65],"complement":[68,84,102],"data;":[69,99],"then":[70],"used":[71,82],"user's":[73],"information":[75,79],"to":[76,83],"filter":[77],"that":[80,128],"is":[81,119,132],"matrix,":[85],"drops":[87],"error":[89],"complementing":[91,98],"improves":[94],"finally,":[100],"selected":[101],"items":[103],"conditionally,":[104],"increases":[106],"recommendation":[108,111,147],"remarkably.":[116],"verified":[120],"through":[121],"experiments,":[122],"experimental":[125],"results":[126],"prove":[127],"improved":[130],"correct":[133],"effective":[135],"in":[136],"solving":[137],"problem":[139],"accuracy.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}