{"id":"https://openalex.org/W2508716390","doi":"https://doi.org/10.1145/2983323.2983672","title":"Learning Points and Routes to Recommend Trajectories","display_name":"Learning Points and Routes to Recommend Trajectories","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2508716390","doi":"https://doi.org/10.1145/2983323.2983672","mag":"2508716390"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1608.07051","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dawei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dawei Chen","raw_affiliation_strings":["The Australian National University, Data61, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"The Australian National University, Data61, Canberra, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng Soon Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Cheng Soon Ong","raw_affiliation_strings":["The Australian National University, Data61, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"The Australian National University, Data61, Canberra, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lexing Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lexing Xie","raw_affiliation_strings":["The Australian National University, Data61, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"The Australian National University, Data61, Canberra, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":7.6375,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97893751,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2227","last_page":"2232"},"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":0.9980000257492065,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7750999927520752},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5699999928474426},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5464000105857849},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5389000177383423},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4580000042915344},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4413999915122986},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.38359999656677246}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7750999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325999736785889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6025000214576721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5871000289916992},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5699999928474426},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5389000177383423},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4580000042915344},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4413999915122986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4122999906539917},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3125},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2983323.2983672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1608.07051","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.07051","pdf_url":"https://arxiv.org/pdf/1608.07051","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1608.07051","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.07051","pdf_url":"https://arxiv.org/pdf/1608.07051","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1972436494","https://openalex.org/W1981886741","https://openalex.org/W1984189333","https://openalex.org/W2001155602","https://openalex.org/W2011101704","https://openalex.org/W2017921654","https://openalex.org/W2019612011","https://openalex.org/W2035349694","https://openalex.org/W2059512502","https://openalex.org/W2067131913","https://openalex.org/W2068160960","https://openalex.org/W2073013176","https://openalex.org/W2086142729","https://openalex.org/W2112738128","https://openalex.org/W2115531407","https://openalex.org/W2118599489","https://openalex.org/W2126194848","https://openalex.org/W2150461219","https://openalex.org/W2171279286","https://openalex.org/W2250384498","https://openalex.org/W6637029157"],"related_works":[],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,19,30,34,49,52,89,121,138,144],"recommending":[3,31],"tours":[4],"to":[5,65,75,106,117,127],"travellers":[6],"is":[7,115],"an":[8],"important":[9],"and":[10,23,42,86,124,156,161],"broadly":[11],"studied":[12],"area.":[13],"Suggested":[14],"solutions":[15],"include":[16],"various":[17,50],"approaches":[18],"points-of-interest":[20],"(POI)":[21],"recommendation":[22],"route":[24],"planning.":[25],"We":[26,130],"consider":[27],"the":[28,47,84,119,125,142],"task":[29],"a":[32,77,112,132],"sequence":[33],"POIs,":[35],"that":[36,81,103,140,149,158],"simultaneously":[37],"uses":[38],"information":[39,53],"about":[40,71,92],"POIs":[41,72,102,139],"routes.":[43,109],"Our":[44],"approach":[45,151],"unifies":[46],"treatment":[48],"sources":[51],"by":[54],"representing":[55],"them":[56],"as":[57],"features":[58],"in":[59],"machine":[60],"learning":[61,98],"algorithms,":[62],"enabling":[63],"us":[64,105],"learn":[66,76],"from":[67],"past":[68],"behaviour.":[69],"Information":[70],"are":[73,95],"used":[74,96],"POI":[78,122,126,128],"ranking":[79,123],"model":[80,114],"accounts":[82],"for":[83,97],"start":[85],"end":[87],"points":[88,160],"tours.":[90],"Data":[91],"previous":[93],"trajectories":[94],"transition":[99],"patterns":[100],"between":[101],"enable":[104],"recommend":[107],"probable":[108],"In":[110],"addition,":[111],"probabilistic":[113],"proposed":[116],"combine":[118],"results":[120,147],"transitions.":[129],"propose":[131],"new":[133],"F1":[134],"score":[135],"on":[136,153],"pairs":[137],"capture":[141],"order":[143],"visits.":[145],"Empirical":[146],"show":[148],"our":[150],"improves":[152],"recent":[154],"methods,":[155],"demonstrate":[157],"combining":[159],"routes":[162],"enables":[163],"better":[164],"trajectory":[165],"recommendations.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2016-09-16T00:00:00"}