{"id":"https://openalex.org/W2067131913","doi":"https://doi.org/10.1145/2661829.2662084","title":"Mining and Planning Time-aware Routes from Check-in Data","display_name":"Mining and Planning Time-aware Routes from Check-in Data","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2067131913","doi":"https://doi.org/10.1145/2661829.2662084","mag":"2067131913"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662084","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5007626411","display_name":"Hsun-Ping Hsieh","orcid":"https://orcid.org/0000-0001-6924-1337"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsun-Ping Hsieh","raw_affiliation_strings":["Network Taiwan University, Taipei, Taiwan Roc","Network Taiwan University, Taipei, Taiwan Roc#TAB#"],"affiliations":[{"raw_affiliation_string":"Network Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Network Taiwan University, Taipei, Taiwan Roc#TAB#","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014600496","display_name":"Cheng\u2013Te Li","orcid":"https://orcid.org/0000-0001-7995-4787"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Te Li","raw_affiliation_strings":["Academia Sinica, Taipei, Taiwan Roc","Academia Sinica, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]},{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007626411"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":3.7847,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94224537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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/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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9886000156402588,"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/computer-science","display_name":"Computer science","score":0.8248187899589539},{"id":"https://openalex.org/keywords/check-in","display_name":"Check-in","score":0.537205696105957},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5232393145561218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5203137397766113},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5144510269165039},{"id":"https://openalex.org/keywords/route-planning","display_name":"Route planning","score":0.49546897411346436},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47118499875068665},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4427800178527832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20653343200683594},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.14854523539543152},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11555051803588867},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1111702024936676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8248187899589539},{"id":"https://openalex.org/C2776004034","wikidata":"https://www.wikidata.org/wiki/Q1068755","display_name":"Check-in","level":2,"score":0.537205696105957},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5232393145561218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5203137397766113},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5144510269165039},{"id":"https://openalex.org/C2989549987","wikidata":"https://www.wikidata.org/wiki/Q350882","display_name":"Route planning","level":2,"score":0.49546897411346436},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47118499875068665},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4427800178527832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20653343200683594},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.14854523539543152},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11555051803588867},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1111702024936676},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2662084","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W148444222","https://openalex.org/W1506285740","https://openalex.org/W1584003909","https://openalex.org/W1608194207","https://openalex.org/W1676985236","https://openalex.org/W1971711168","https://openalex.org/W1990176501","https://openalex.org/W2009779426","https://openalex.org/W2011101704","https://openalex.org/W2044337911","https://openalex.org/W2062231365","https://openalex.org/W2068383400","https://openalex.org/W2069090820","https://openalex.org/W2073013176","https://openalex.org/W2087692915","https://openalex.org/W2110953678","https://openalex.org/W2130453793","https://openalex.org/W2139823104","https://openalex.org/W2141596757","https://openalex.org/W2158454296","https://openalex.org/W2167917691","https://openalex.org/W2294749418","https://openalex.org/W4254829975"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2033909506"],"abstract_inverted_index":{"Location-based":[0],"services":[1],"allow":[2],"users":[3],"to":[4,24,82,131,144,184,208],"perform":[5],"check-in":[6,49,155,195],"actions,":[7],"which":[8],"not":[9],"only":[10],"record":[11],"their":[12,70],"geo-spatial":[13],"activities,":[14],"but":[15],"also":[16],"provide":[17],"a":[18,40,64,100,158,178,209],"plentiful":[19],"source":[20],"for":[21,190],"data":[22,196],"scientists":[23],"analyze":[25],"and":[26,30,86,133,148,157,201],"plan":[27],"more":[28],"accurate":[29],"useful":[31],"geographical":[32],"recommender":[33],"system.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,98,125,142,176],"present":[39],"novel":[41],"Time-aware":[42,159],"Route":[43,180],"Planning":[44],"(TRP)":[45],"problem":[46],"using":[47],"location":[48,74,136],"data.":[50],"The":[51],"central":[52],"idea":[53],"is":[54,66,109,165],"that":[55],"the":[56,61,83,90,135,146,171,186,198,204],"pleasure":[57],"of":[58,93,203,211],"staying":[59],"at":[60],"locations":[62,94,116,123],"along":[63],"route":[65,96,103],"significantly":[67],"affected":[68],"by":[69],"visiting":[71,79,91,119,137],"time.":[72],"Each":[73],"has":[75],"its":[76],"own":[77],"proper":[78],"time":[80,92,113,138],"due":[81],"category,":[84],"objective,":[85],"population.":[87],"To":[88],"consider":[89],"into":[95],"planning,":[97],"develop":[99,177],"three-stage":[101],"time-aware":[102,150,173,188],"planning":[104],"framework.":[105],"First,":[106],"since":[107],"there":[108],"usually":[110],"either":[111],"noise":[112],"on":[114,121,139,170,193],"existing":[115],"or":[117],"no":[118],"information":[120],"new":[122],"constructed,":[124],"devise":[126],"an":[127],"inference":[128],"method,":[129],"LocTimeInf,":[130],"predict":[132],"recover":[134],"routes.":[140],"Second,":[141],"aim":[143],"find":[145],"representative":[147],"popular":[149],"location-transition":[151],"behaviors":[152],"from":[153],"user":[154],"data,":[156],"Transit":[160],"Pattern":[161],"Mining":[162],"(TTPM)":[163],"algorithm":[164,183],"proposed":[166,205],"correspondingly.":[167],"Third,":[168],"based":[169],"mined":[172],"transit":[174],"patterns,":[175],"Proper":[179],"Search":[181],"(PR-Search)":[182],"construct":[185],"final":[187],"routes":[189],"recommendation.":[191],"Experiments":[192],"Gowalla":[194],"exhibit":[197],"promising":[199],"effectiveness":[200],"efficiency":[202],"methods,":[206],"comparing":[207],"series":[210],"competitors.":[212]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}