{"id":"https://openalex.org/W2537003471","doi":"https://doi.org/10.1145/2983323.2983845","title":"Where Did You Go","display_name":"Where Did You Go","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2537003471","doi":"https://doi.org/10.1145/2983323.2983845","mag":"2537003471"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983845","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983845","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983845","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fei Wu","raw_affiliation_strings":["Penn state, State college, PA, USA"],"affiliations":[{"raw_affiliation_string":"Penn state, State college, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016516907","display_name":"Zhenhui Li","orcid":"https://orcid.org/0000-0001-7221-2588"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhui Li","raw_affiliation_strings":["Penn State, state college, PA, USA"],"affiliations":[{"raw_affiliation_string":"Penn State, state college, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004882141"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":17.9928,"has_fulltext":true,"cited_by_count":47,"citation_normalized_percentile":{"value":0.98875175,"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":"589","last_page":"598"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.8459552526473999},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6719374060630798},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6287707686424255},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6101533770561218},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5107202529907227},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5022153854370117},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49301502108573914},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4466443955898285},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4437211751937866},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.424925297498703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3633119463920593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28176194429397583},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.10941877961158752},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08508315682411194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459552526473999},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6719374060630798},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6287707686424255},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6101533770561218},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5107202529907227},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5022153854370117},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49301502108573914},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4466443955898285},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4437211751937866},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.424925297498703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3633119463920593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28176194429397583},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.10941877961158752},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08508315682411194},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983845","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983845","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"}],"best_oa_location":{"id":"doi:10.1145/2983323.2983845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983845","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983845","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5038189866","display_name":null,"funder_award_id":"1544455,1618448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2537003471.pdf","grobid_xml":"https://content.openalex.org/works/W2537003471.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W177101540","https://openalex.org/W578585133","https://openalex.org/W1503398984","https://openalex.org/W1546409232","https://openalex.org/W1565064763","https://openalex.org/W1626398438","https://openalex.org/W1814491495","https://openalex.org/W1892382968","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W2009779426","https://openalex.org/W2011968383","https://openalex.org/W2012084072","https://openalex.org/W2017921654","https://openalex.org/W2021011492","https://openalex.org/W2022749020","https://openalex.org/W2025101014","https://openalex.org/W2030214288","https://openalex.org/W2044023374","https://openalex.org/W2054610764","https://openalex.org/W2059512502","https://openalex.org/W2059512573","https://openalex.org/W2073013176","https://openalex.org/W2073021764","https://openalex.org/W2075190119","https://openalex.org/W2086961842","https://openalex.org/W2087692915","https://openalex.org/W2094227382","https://openalex.org/W2101309634","https://openalex.org/W2104634547","https://openalex.org/W2106251303","https://openalex.org/W2110953678","https://openalex.org/W2113137767","https://openalex.org/W2115639613","https://openalex.org/W2139809240","https://openalex.org/W2140251882","https://openalex.org/W2143516773","https://openalex.org/W2149814409","https://openalex.org/W2166692930","https://openalex.org/W2171634212","https://openalex.org/W2216025085","https://openalex.org/W2963275074","https://openalex.org/W4244928213"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2353125546","https://openalex.org/W2352448290","https://openalex.org/W2470643824","https://openalex.org/W2380820513","https://openalex.org/W2378011361","https://openalex.org/W4323929292"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,127,153],"positioning":[3],"technology":[4],"have":[5],"generated":[6],"massive":[7],"volume":[8],"of":[9,19,46,101,146,174],"human":[10],"mobility":[11,34,48,81,119],"data.":[12],"At":[13],"the":[14,33,44,47,80,91,136,147,154,167,172,190],"same":[15],"time,":[16],"large":[17],"amount":[18],"spatial":[20,38],"context":[21,30,39],"data":[22,35,141,152],"are":[23],"available":[24],"and":[25],"provide":[26],"us":[27,41],"with":[28,36,83],"rich":[29],"information.":[31],"Combining":[32],"surrounding":[37,84,102],"enables":[40],"to":[42,74,98,115,121,138,149,165],"understand":[43],"semantics":[45],"records,":[49],"e.g.,":[50,59],"what":[51],"is":[52,95],"a":[53,57,62,66,160],"user":[54,123,143],"doing":[55],"at":[56,61],"location,":[58],"dining":[60],"restaurant":[63],"or":[64],"attending":[65],"football":[67],"game).":[68],"In":[69],"this":[70,76],"paper,":[71],"we":[72,113,158,183],"aim":[73],"answer":[75],"question":[77],"by":[78,90],"annotating":[79],"records":[82,120],"venues":[85],"that":[86,107,170,185],"were":[87],"actually":[88],"visited":[89],"user.":[92],"The":[93],"problem":[94],"non-trivial":[96],"due":[97],"high":[99],"ambiguity":[100],"contexts.":[103],"Unlike":[104],"existing":[105],"methods":[106],"annotate":[108],"each":[109],"location":[110],"record":[111],"independently,":[112],"propose":[114],"use":[116],"all":[117],"historical":[118],"capture":[122],"preferences,":[124],"which":[125],"results":[126],"more":[128],"accurate":[129],"annotations.":[130],"Our":[131],"method":[132,187],"does":[133],"not":[134],"assume":[135],"availability":[137],"any":[139],"training":[140],"on":[142,180],"preference":[144],"because":[145],"difficulties":[148],"obtain":[150],"such":[151],"real-world":[155],"setting.":[156],"Instead,":[157],"design":[159],"Markov":[161],"random":[162],"field":[163],"model":[164],"find":[166],"best":[168],"annotations":[169],"maximize":[171],"consistency":[173],"annotated":[175],"venues.":[176],"Through":[177],"extensive":[178],"experiments":[179],"real":[181],"datasets,":[182],"demonstrate":[184],"our":[186],"significantly":[188],"outperforms":[189],"baseline":[191],"methods.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-10-28T00:00:00"}
