{"id":"https://openalex.org/W3040358113","doi":"https://doi.org/10.1109/tkde.2020.3005735","title":"Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM","display_name":"Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3040358113","doi":"https://doi.org/10.1109/tkde.2020.3005735","mag":"3040358113"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3005735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3005735","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5102923184","display_name":"Chi Harold Liu","orcid":"https://orcid.org/0000-0002-0252-329X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Harold Liu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0252-329X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618455","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-2638-2778"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2638-2778","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073324467","display_name":"Chengzhe Piao","orcid":"https://orcid.org/0000-0003-0494-5098"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhe Piao","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0494-5098","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038171053","display_name":"Zipeng Dai","orcid":"https://orcid.org/0000-0002-2479-9801"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zipeng Dai","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001469325","display_name":"Dapeng Wu","orcid":"https://orcid.org/0000-0003-1755-0183"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dapeng Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0003-1755-0183","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":5.1504,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94691553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"34","issue":"5","first_page":"2472","last_page":"2484"},"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":0.9984999895095825,"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":0.9713000059127808,"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":0.7420830726623535},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.6283847093582153},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5400342345237732},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.48982712626457214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4220349192619324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41176536679267883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19507408142089844},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1760963797569275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420830726623535},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6283847093582153},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5400342345237732},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.48982712626457214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4220349192619324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41176536679267883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19507408142089844},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1760963797569275},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.3005735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3005735","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3980498467","display_name":"\u7eff\u8272\u7fa4\u667a\u8ba1\u7b97\u4e2d\u7684\u53ef\u4fe1\u4efb\u52a1\u5206\u914d\u4e0e\u6570\u636e\u5b9a\u4ef7\u6280\u672f\u7814\u7a76","funder_award_id":"61772072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1981886741","https://openalex.org/W2044672016","https://openalex.org/W2064675550","https://openalex.org/W2070915285","https://openalex.org/W2157331557","https://openalex.org/W2171279286","https://openalex.org/W2422675628","https://openalex.org/W2444485119","https://openalex.org/W2530887700","https://openalex.org/W2534727297","https://openalex.org/W2539781657","https://openalex.org/W2626454364","https://openalex.org/W2740832655","https://openalex.org/W2750303327","https://openalex.org/W2767923185","https://openalex.org/W2808425487","https://openalex.org/W2883204477","https://openalex.org/W2892636108","https://openalex.org/W2893346805","https://openalex.org/W2898002755","https://openalex.org/W2900841426","https://openalex.org/W2903831494","https://openalex.org/W2904535507","https://openalex.org/W2905432015","https://openalex.org/W2907285595","https://openalex.org/W2907639449","https://openalex.org/W2913258827","https://openalex.org/W2913696151","https://openalex.org/W2947374734","https://openalex.org/W2951169625","https://openalex.org/W2952493731","https://openalex.org/W2963895127","https://openalex.org/W2965426524","https://openalex.org/W2966800485","https://openalex.org/W2987088609","https://openalex.org/W2988588486","https://openalex.org/W3012632375","https://openalex.org/W3099237846","https://openalex.org/W3102619277","https://openalex.org/W4303633609","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6632885370","https://openalex.org/W6684821475","https://openalex.org/W6688089849"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W4312193868","https://openalex.org/W4308165509"],"abstract_inverted_index":{"Personalized":[0],"location":[1,55],"prediction":[2,56],"is":[3],"key":[4],"to":[5,98,123],"many":[6],"mobile":[7],"applications":[8],"and":[9,18,40,47,83,117],"services.":[10],"In":[11],"this":[12],"paper,":[13],"motivated":[14],"by":[15,68],"both":[16,45],"statistical":[17],"visualized":[19],"preliminary":[20],"analysis":[21],"on":[22,44],"three":[23],"real":[24],"datasets,":[25],"we":[26],"observe":[27],"a":[28,91],"strong":[29],"spatiotemporal":[30],"correlation":[31],"for":[32],"user":[33,74],"trajectories":[34,75],"among":[35,66],"the":[36,63,73,113,118],"visited":[37,88],"area-of-interests":[38],"(AoIs)":[39],"different":[41,79],"time":[42,80],"periods":[43,81],"weekly":[46],"daily":[48],"basis,":[49],"which":[50],"directly":[51],"motivates":[52],"our":[53],"time-aware":[54],"model":[57,96],"design":[58],"called":[59],"\u201c$t$t-LocPred\u201d.":[60],"It":[61],"models":[62],"spatial":[64],"correlations":[65],"AoIs":[67,77],"coarse-grained":[69],"convolutional":[70],"processing":[71],"of":[72,78,115],"in":[76],"(\u201cConvAoI\u201d);":[82],"predicts":[84],"his/her":[85],"fine-grained":[86],"next":[87],"PoI":[89],"using":[90],"novel":[92],"memory-augmented":[93],"attentive":[94],"LSTM":[95],"(\u201cmem-attLSTM\u201d)":[97],"capture":[99],"long-term":[100],"behavior":[101],"patterns.":[102],"Experimental":[103],"results":[104],"show":[105,112],"that$t$t-LocPred":[106],"outperforms":[107],"8":[108],"baselines.":[109,125],"We":[110],"also":[111],"impact":[114],"hyperparameters":[116],"benefits":[119],"ConvAoI":[120],"can":[121],"bring":[122],"these":[124]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
