{"id":"https://openalex.org/W2077311880","doi":"https://doi.org/10.1109/dsaa.2014.7058061","title":"Probabilistic Category-based Location Recommendation Utilizing Temporal Influence and Geographical Influence","display_name":"Probabilistic Category-based Location Recommendation Utilizing Temporal Influence and Geographical Influence","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2077311880","doi":"https://doi.org/10.1109/dsaa.2014.7058061","mag":"2077311880"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2014.7058061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","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/A5063258106","display_name":"Dequan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Dequan Zhou","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, Canada#TAB#","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020399292","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0003-3569-2126"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, Canada#TAB#","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063258106"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":2.0808,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89211706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7310","issue":null,"first_page":"115","last_page":"121"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7966076135635376},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6312196254730225},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6190521717071533},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5970782041549683},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.5680288076400757},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48690831661224365},{"id":"https://openalex.org/keywords/location","display_name":"Location","score":0.41735196113586426},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4071487784385681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2840918302536011},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1438603699207306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08638304471969604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966076135635376},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6312196254730225},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6190521717071533},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5970782041549683},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.5680288076400757},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48690831661224365},{"id":"https://openalex.org/C61980418","wikidata":"https://www.wikidata.org/wiki/Q2221906","display_name":"Location","level":2,"score":0.41735196113586426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4071487784385681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2840918302536011},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1438603699207306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08638304471969604},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa.2014.7058061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W143476799","https://openalex.org/W177101540","https://openalex.org/W182907944","https://openalex.org/W1965327747","https://openalex.org/W1998550207","https://openalex.org/W2025603036","https://openalex.org/W2073021764","https://openalex.org/W2087692915","https://openalex.org/W2110953678","https://openalex.org/W6605815769","https://openalex.org/W6607056340"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2240157300","https://openalex.org/W2994061880","https://openalex.org/W3137961214","https://openalex.org/W2050359234","https://openalex.org/W2562721228","https://openalex.org/W2398125269","https://openalex.org/W3036679927"],"abstract_inverted_index":{"Location":[0],"recommendation":[1,39,142],"provides":[2],"unvisited":[3],"locations":[4,45,118,123],"to":[5,46,129],"the":[6,9,20,47,54,72,105,114,130,152],"users":[7,48],"for":[8],"rapidly":[10],"growing":[11],"location-based":[12],"social":[13],"networks.":[14],"The":[15,60,68,94,110,132],"service":[16],"is":[17,101,136],"based":[18,103],"on":[19,104,144],"users'":[21,77,97],"visiting":[22],"histories":[23],"and":[24,65,119],"location":[25,30,38,89,141],"related":[26],"information":[27],"such":[28],"as":[29,91],"categories.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"a":[37,50,82,145],"algorithm":[40,61,154],"called":[41],"sPCLR":[42,135,153],"that":[43,124,151],"recommends":[44],"at":[49,87],"given":[51],"time":[52],"of":[53,75,117,127,134],"day":[55],"by":[56,80],"utilizing":[57],"category":[58],"information.":[59],"considers":[62],"both":[63],"temporal":[64,69,73,92,108],"spatial":[66,111],"components.":[67],"component":[70,112],"utilizes":[71,113],"influence":[74,116],"similar":[76],"check-in":[78,85,99],"behaviors":[79],"representing":[81],"user's":[83],"periodic":[84,98],"behavior":[86,100],"different":[88],"categories":[90],"curves.":[93,109],"similarity":[95],"between":[96,107],"calculated":[102],"difference":[106],"geographical":[115],"filters":[120],"out":[121],"those":[122],"are":[125],"not":[126],"interest":[128],"user.":[131],"performance":[133],"compared":[137],"with":[138],"three":[139,160],"existing":[140],"algorithms":[143],"real-world":[146],"dataset.":[147],"Experimental":[148],"results":[149],"show":[150],"performs":[155],"better":[156],"than":[157],"all":[158],"other":[159],"algorithms.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
