{"id":"https://openalex.org/W2026532078","doi":"https://doi.org/10.1145/2433396.2433485","title":"Learning to rank for spatiotemporal search","display_name":"Learning to rank for spatiotemporal search","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W2026532078","doi":"https://doi.org/10.1145/2433396.2433485","mag":"2026532078"},"language":"en","primary_location":{"id":"doi:10.1145/2433396.2433485","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2433396.2433485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM international conference on Web search and data mining","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/A5054163834","display_name":"Blake Shaw","orcid":"https://orcid.org/0000-0002-0640-8985"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Blake Shaw","raw_affiliation_strings":["Foursquare, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Foursquare, New York, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056381719","display_name":"Jon Shea","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jon Shea","raw_affiliation_strings":["Foursquare, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Foursquare, New York, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037783356","display_name":"Siddhartha Sinha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siddhartha Sinha","raw_affiliation_strings":["Foursquare, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Foursquare, New York, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024161800","display_name":"Andrew Hogue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Hogue","raw_affiliation_strings":["Foursquare, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Foursquare, New York, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054163834"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.856,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.9951448,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"717","last_page":"726"},"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":0.9968000054359436,"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":0.9923999905586243,"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":0.8418943285942078},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7299420237541199},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6772751808166504},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6660438179969788},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.661178469657898},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5858191251754761},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5846582055091858},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5811368823051453},{"id":"https://openalex.org/keywords/geographic-coordinate-system","display_name":"Geographic coordinate system","score":0.5520671606063843},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5245302319526672},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4927845299243927},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.48938339948654175},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4889892339706421},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48728668689727783},{"id":"https://openalex.org/keywords/geolocation","display_name":"Geolocation","score":0.47921663522720337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45289933681488037},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4401888847351074},{"id":"https://openalex.org/keywords/location-awareness","display_name":"Location awareness","score":0.4221728444099426},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4125368595123291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35458409786224365},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2448301613330841},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15617239475250244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8418943285942078},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7299420237541199},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6772751808166504},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6660438179969788},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.661178469657898},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5858191251754761},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5846582055091858},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5811368823051453},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.5520671606063843},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5245302319526672},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4927845299243927},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.48938339948654175},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4889892339706421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48728668689727783},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.47921663522720337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45289933681488037},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4401888847351074},{"id":"https://openalex.org/C2776104089","wikidata":"https://www.wikidata.org/wiki/Q15894079","display_name":"Location awareness","level":2,"score":0.4221728444099426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4125368595123291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35458409786224365},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2448301613330841},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15617239475250244},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2433396.2433485","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2433396.2433485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM international conference on Web search and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1495226832","https://openalex.org/W1515481220","https://openalex.org/W1566248475","https://openalex.org/W1787140601","https://openalex.org/W1966633684","https://openalex.org/W1974360117","https://openalex.org/W1979987551","https://openalex.org/W1982300822","https://openalex.org/W1982584634","https://openalex.org/W1985554184","https://openalex.org/W1985690171","https://openalex.org/W1990589796","https://openalex.org/W2009155608","https://openalex.org/W2018277822","https://openalex.org/W2054564044","https://openalex.org/W2069090820","https://openalex.org/W2069198584","https://openalex.org/W2082576493","https://openalex.org/W2098461920","https://openalex.org/W2098935637","https://openalex.org/W2102192674","https://openalex.org/W2109464129","https://openalex.org/W2111185764","https://openalex.org/W2121672615","https://openalex.org/W2142857396","https://openalex.org/W2151731441","https://openalex.org/W2152314154","https://openalex.org/W2162059449","https://openalex.org/W2168346693","https://openalex.org/W2168685189","https://openalex.org/W2169925633","https://openalex.org/W2171805028","https://openalex.org/W4251560691","https://openalex.org/W6676491862"],"related_works":["https://openalex.org/W2162876420","https://openalex.org/W2407385737","https://openalex.org/W1195274749","https://openalex.org/W2766859593","https://openalex.org/W2186730294","https://openalex.org/W2012707973","https://openalex.org/W1993594231","https://openalex.org/W2365034677","https://openalex.org/W2743146294","https://openalex.org/W2031321167"],"abstract_inverted_index":{"In":[0],"this":[1,132],"article":[2],"we":[3],"consider":[4],"the":[5,32,42,108],"problem":[6],"of":[7,12,22,35,46,74,110,118,125,153,164,177],"mapping":[8],"a":[9,13,18,26,56,72,77,87,136,143,162],"noisy":[10],"estimate":[11],"user's":[14,57,78,144],"current":[15,38,79],"location":[16,58,145,188],"to":[17,54],"semantically":[19],"meaningful":[20],"point":[21],"interest,":[23],"such":[24],"as":[25,86],"home,":[27],"restaurant,":[28],"or":[29],"store.":[30],"Despite":[31],"poor":[33],"accuracy":[34],"GPS":[36],"on":[37,191],"mobile":[39],"devices":[40],"and":[41,67,69,90,103,105,166,174,179,193],"relatively":[43],"high":[44],"density":[45],"places":[47,66,178],"in":[48,93,100],"urban":[49],"areas,":[50],"it":[51],"is":[52],"possible":[53],"predict":[55],"with":[59,114,156],"considerable":[60],"precision":[61],"by":[62,70,107,146],"explicitly":[63],"modeling":[64],"both":[65,101],"users":[68,119,180],"combining":[71,147],"variety":[73,163],"signals":[75,149],"about":[76],"context.":[80],"Places":[81],"are":[82,96],"often":[83],"simply":[84],"modeled":[85],"single":[88],"latitude":[89],"longitude":[91],"when":[92],"fact":[94],"they":[95],"complex":[97,121],"entities":[98],"existing":[99],"space":[102],"time":[104],"shaped":[106],"millions":[109],"people":[111],"that":[112,127,141,168],"interact":[113],"them.":[115],"Similarly,":[116],"models":[117,176],"reveal":[120],"but":[122],"predictable":[123],"patterns":[124],"mobility":[126],"can":[128],"be":[129],"exploited":[130],"for":[131,172,187],"task.":[133],"We":[134,160],"propose":[135],"novel":[137],"spatial":[138],"search":[139,189],"algorithm":[140],"infers":[142],"aggregate":[148],"mined":[150],"from":[151],"billions":[152],"foursquare":[154],"check-ins":[155],"real-time":[157],"contextual":[158],"information.":[159],"evaluate":[161],"techniques":[165],"demonstrate":[167],"machine":[169],"learning":[170],"algorithms":[171],"ranking":[173],"spatiotemporal":[175],"offer":[181],"significant":[182],"improvement":[183],"over":[184],"common":[185],"methods":[186],"based":[190],"distance":[192],"popularity.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
