{"id":"https://openalex.org/W2558847146","doi":"https://doi.org/10.1145/3006299.3006330","title":"A hybrid method of recommending POIs based on context and personal preference confidence","display_name":"A hybrid method of recommending POIs based on context and personal preference confidence","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2558847146","doi":"https://doi.org/10.1145/3006299.3006330","mag":"2558847146"},"language":"en","primary_location":{"id":"doi:10.1145/3006299.3006330","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3006299.3006330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","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/A5100402534","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-7521-8798"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Li","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072386697","display_name":"Guanjun Liu","orcid":"https://orcid.org/0000-0002-7523-4827"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanjun Liu","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066099338","display_name":"Changjun Jiang","orcid":"https://orcid.org/0000-0003-0637-9317"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjun Jiang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101015946","display_name":"Chungang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chungang Yan","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100402534"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17271287,"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":"287","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9975000023841858,"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/T11478","display_name":"Caching and Content Delivery","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.807390034198761},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7295095920562744},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6592939496040344},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6548360586166382},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6371787190437317},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5994393229484558},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5764637589454651},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5650819540023804},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5192768573760986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4023001790046692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3550962805747986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11250698566436768},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07781141996383667},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07151919603347778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807390034198761},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7295095920562744},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6592939496040344},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6548360586166382},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6371787190437317},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5994393229484558},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5764637589454651},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5650819540023804},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5192768573760986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4023001790046692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3550962805747986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11250698566436768},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07781141996383667},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07151919603347778},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3006299.3006330","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3006299.3006330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1840640513","https://openalex.org/W1855246647","https://openalex.org/W1976094288","https://openalex.org/W1984189333","https://openalex.org/W1998889130","https://openalex.org/W2016506327","https://openalex.org/W2023535560","https://openalex.org/W2052626679","https://openalex.org/W2074020083","https://openalex.org/W2083153244","https://openalex.org/W2090423500","https://openalex.org/W2100235918","https://openalex.org/W2119523409","https://openalex.org/W2139809240","https://openalex.org/W2142672922","https://openalex.org/W2158978451","https://openalex.org/W2160169976","https://openalex.org/W2160217907","https://openalex.org/W2203455183","https://openalex.org/W2339074556","https://openalex.org/W2342935467","https://openalex.org/W2408538552","https://openalex.org/W2990138404","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W1657011257","https://openalex.org/W2963185427","https://openalex.org/W4401051025","https://openalex.org/W2065296176","https://openalex.org/W2912355043","https://openalex.org/W4226251559","https://openalex.org/W4361265478","https://openalex.org/W3193309097"],"abstract_inverted_index":{"It":[0],"is":[1],"a":[2,11,56,71,80,95,102,116,130,141],"valuable":[3],"study":[4],"for":[5,110],"Location-based":[6],"Social":[7],"Network":[8],"(LBSN)":[9],"make":[10],"more":[12],"accurate":[13],"Points-of-Interest":[14],"(POI)":[15],"recommendation":[16,30,138],"since":[17],"that":[18,31,78,136],"can":[19,61],"improve":[20],"users'":[21],"experiences.":[22],"There":[23],"have":[24,44],"been":[25,46],"many":[26],"methods":[27],"of":[28,83,104],"POIs":[29,106],"consider":[32],"context,":[33],"personal":[34],"preference":[35],"pattern,":[36],"and/or":[37],"matrix":[38,82],"factorization.":[39],"However,":[40],"the":[41,89],"continuous":[42,64],"contexts":[43,84],"not":[45],"thoroughly":[47],"considered":[48],"in":[49],"these":[50],"methods.":[51],"This":[52],"paper":[53],"first":[54],"proposes":[55],"locations":[57,86],"splitting":[58],"method":[59,76,139],"which":[60,119],"handle":[62],"both":[63],"and":[65,85,144],"discrete":[66],"contexts.":[67],"Moreover,":[68],"we":[69,114],"present":[70],"Context-aware":[72],"Probabilistic":[73],"Matrix":[74],"Factorization":[75],"(CPMF)":[77],"factorizes":[79],"frequency":[81],"to":[87,100,124],"obtain":[88],"user-location":[90],"checkin":[91],"probabilities.":[92],"We":[93],"design":[94],"Personal":[96],"Preference":[97],"Confidence":[98],"(PPC)":[99],"extract":[101],"set":[103],"reliable":[105],"with":[107,122],"confidence":[108],"values":[109],"every":[111],"user.":[112],"Finally,":[113],"propose":[115],"hybrid":[117],"recommender":[118],"fuses":[120],"CPMF":[121],"PPC":[123],"recommend":[125],"top-n":[126],"POIs.":[127],"Experiments":[128],"on":[129],"large-scale":[131],"real-world":[132],"checkins":[133],"dataset":[134],"demonstrate":[135],"our":[137],"obtains":[140],"well":[142],"performance":[143],"effect.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}