{"id":"https://openalex.org/W2082215541","doi":"https://doi.org/10.1080/13658816.2015.1005094","title":"Points of interest recommendation from GPS trajectories","display_name":"Points of interest recommendation from GPS trajectories","publication_year":2015,"publication_date":"2015-03-02","ids":{"openalex":"https://openalex.org/W2082215541","doi":"https://doi.org/10.1080/13658816.2015.1005094","mag":"2082215541"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2015.1005094","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2015.1005094","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-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/A5102014139","display_name":"Yaqiong Liu","orcid":"https://orcid.org/0000-0002-4786-5808"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yaqiong Liu","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore, Singapore","School Of Computer Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School Of Computer Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046543877","display_name":"Hock Soon Seah","orcid":"https://orcid.org/0000-0003-2699-7147"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hock Soon Seah","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore, Singapore","School Of Computer Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School Of Computer Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102014139"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":8.2689,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.96684522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"6","first_page":"953","last_page":"979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8741438388824463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7678160071372986},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7569472193717957},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.7234312295913696},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6422074437141418},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5912741422653198},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5426232814788818},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5252075791358948},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.49832892417907715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4877696633338928},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44200438261032104},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3447258472442627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3271663784980774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32171905040740967}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8741438388824463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678160071372986},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7569472193717957},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.7234312295913696},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6422074437141418},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5912741422653198},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5426232814788818},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5252075791358948},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.49832892417907715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4877696633338928},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44200438261032104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3447258472442627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3271663784980774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32171905040740967},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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:10.1080/13658816.2015.1005094","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2015.1005094","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1494584265","https://openalex.org/W1532325895","https://openalex.org/W1565377632","https://openalex.org/W1673310716","https://openalex.org/W1891514807","https://openalex.org/W2002199299","https://openalex.org/W2003489401","https://openalex.org/W2009155608","https://openalex.org/W2009779426","https://openalex.org/W2057991616","https://openalex.org/W2067193733","https://openalex.org/W2070075246","https://openalex.org/W2073013176","https://openalex.org/W2077451659","https://openalex.org/W2078527501","https://openalex.org/W2087692915","https://openalex.org/W2098914134","https://openalex.org/W2109182426","https://openalex.org/W2112631146","https://openalex.org/W2114797768","https://openalex.org/W2122516730","https://openalex.org/W2123904884","https://openalex.org/W2140251882","https://openalex.org/W2146456494","https://openalex.org/W2149814409","https://openalex.org/W2157973827","https://openalex.org/W2158790265","https://openalex.org/W2408538552","https://openalex.org/W4205774955","https://openalex.org/W4213009331","https://openalex.org/W4239950817"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2368049389","https://openalex.org/W2170801710","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W2912355043","https://openalex.org/W4231945043","https://openalex.org/W4200172648"],"abstract_inverted_index":{"Recently,":[0],"points":[1],"of":[2,54,104,144],"interest":[3],"(POIs)":[4],"recommendation":[5,52,77,140],"has":[6],"evolved":[7],"into":[8,38],"a":[9,21,55,89,98],"hot":[10],"research":[11],"topic":[12],"with":[13],"real-world":[14,124],"applications.":[15],"In":[16],"this":[17,107],"paper,":[18],"we":[19,80],"propose":[20],"novel":[22],"semantics-enhanced":[23],"density-based":[24],"clustering":[25],"algorithm":[26],"SEM-DTBJ-Cluster,":[27],"to":[28],"extract":[29],"semantic":[30],"POIs":[31,96],"from":[32],"GPS":[33],"trajectories.":[34],"We":[35,57],"then":[36],"take":[37],"account":[39],"three":[40,75,83],"different":[41,70],"factors":[42],"(popularity,":[43],"temporal":[44,64,115],"and":[45,65,87,116,134,136,146],"geographical":[46,66,117],"features)":[47],"that":[48,112,129],"can":[49],"influence":[50],"the":[51,59,82,102,110,138],"score":[53],"POI.":[56],"characterize":[58],"impacts":[60],"caused":[61],"by":[62,68],"popularity,":[63,114],"information,":[67],"using":[69],"scoring":[71,84],"functions":[72,85],"based":[73],"on":[74,122],"developed":[76],"models.":[78],"Finally,":[79],"combine":[81],"together":[86],"obtain":[88],"unified":[90],"framework":[91,131],"PTG-Recommend":[92],"for":[93,97],"recommending":[94],"candidate":[95],"mobile":[99],"user.":[100],"To":[101],"best":[103],"our":[105,130],"knowledge,":[106],"work":[108],"is":[109,132],"first":[111],"considers":[113],"information":[118],"together.":[119],"Experimental":[120],"results":[121],"two":[123],"data":[125],"sets":[126],"strongly":[127],"demonstrate":[128],"robust":[133],"effective,":[135],"outperforms":[137],"baseline":[139],"methods":[141],"in":[142],"terms":[143],"precision":[145],"recall.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}