{"id":"https://openalex.org/W4200021079","doi":"https://doi.org/10.1109/ictai52525.2021.00053","title":"Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction","display_name":"Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200021079","doi":"https://doi.org/10.1109/ictai52525.2021.00053"},"language":"en","primary_location":{"id":"doi:10.1109/ictai52525.2021.00053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai52525.2021.00053","pdf_url":null,"source":{"id":"https://openalex.org/S4363608052","display_name":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","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/A5029222217","display_name":"Sayda Elmi","orcid":"https://orcid.org/0000-0002-9091-2307"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Sayda Elmi","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016442392","display_name":"Karim Benouaret","orcid":"https://orcid.org/0000-0003-2634-0962"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Karim Benouaret","raw_affiliation_strings":["LIRIS \u2013 CNRS, Universit\u00e9 Claude Bernard Lyon 1, France"],"affiliations":[{"raw_affiliation_string":"LIRIS \u2013 CNRS, Universit\u00e9 Claude Bernard Lyon 1, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I4210155607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077593594","display_name":"Kian\u2010Lee Tan","orcid":"https://orcid.org/0000-0001-9315-4057"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kian-Lee Tan","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029222217"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.9654,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73200993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"329"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9976999759674072,"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":0.9925000071525574,"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":0.662432074546814},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4616948366165161},{"id":"https://openalex.org/keywords/social-learning","display_name":"Social learning","score":0.43181347846984863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4260060489177704},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3828163146972656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3380231559276581},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.16320762038230896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662432074546814},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4616948366165161},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.43181347846984863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260060489177704},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3828163146972656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3380231559276581},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.16320762038230896}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ictai52525.2021.00053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai52525.2021.00053","pdf_url":null,"source":{"id":"https://openalex.org/S4363608052","display_name":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04198040v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04198040","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2021, Washington, DC, United States. pp.322-329, ⟨10.1109/ICTAI52525.2021.00053⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1546409232","https://openalex.org/W2073013176","https://openalex.org/W2087692915","https://openalex.org/W2110953678","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2205235818","https://openalex.org/W2333013045","https://openalex.org/W2539781657","https://openalex.org/W2739805805","https://openalex.org/W2741460999","https://openalex.org/W2767584206","https://openalex.org/W2798385737","https://openalex.org/W2808425487","https://openalex.org/W2905432015","https://openalex.org/W3012782947","https://openalex.org/W3035308866","https://openalex.org/W4385245566","https://openalex.org/W6632885370","https://openalex.org/W6684191040","https://openalex.org/W6688089849","https://openalex.org/W6728864075","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Location-based":[0],"recommendation":[1,12],"tools":[2],"assist":[3],"users":[4],"in":[5],"discovering":[6],"attractive":[7],"Points-of-Interest":[8],"(POIs).":[9],"Next":[10],"POIs":[11,32],"is":[13,52,61,77],"of":[14],"great":[15],"importance":[16],"and":[17,43,56,110,112],"benefit.":[18],"In":[19,46],"this":[20],"paper,":[21],"we":[22],"propose":[23],"an":[24],"attention-CNN":[25],"based":[26],"network":[27],"named":[28],"Deep-POIs":[29,47],"for":[30],"next":[31],"prediction":[33],"by":[34],"modeling":[35],"several":[36],"features":[37,84],"such":[38],"as":[39,54],"spatio-temporal,":[40],"sequential,":[41],"social":[42,70],"context":[44,97],"features.":[45],"model,":[48],"users\u2019":[49],"mobility":[50],"behavior":[51],"modeled":[53],"images":[55],"then":[57,78],"a":[58],"CNN":[59],"architecture":[60],"employed":[62,79],"to":[63,80,88],"capture":[64],"the":[65,69,82,90],"spatio-temporal":[66],"patterns":[67],"considering":[68],"relations":[71],"connecting":[72],"users.":[73],"An":[74],"attention":[75],"mechanism":[76],"extract":[81],"sequential":[83],"which":[85],"are":[86],"essential":[87],"describe":[89],"user":[91],"behaviors.":[92],"The":[93],"model":[94,103],"also":[95],"integrates":[96],"feature":[98],"extraction.":[99],"We":[100],"evaluate":[101],"our":[102],"on":[104],"two":[105],"real":[106],"location-based":[107],"networks,":[108],"Foursquare":[109],"Gowalla,":[111],"show":[113],"that":[114],"it":[115],"significantly":[116],"outperforms":[117],"eight":[118],"existing":[119],"methods.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}