{"id":"https://openalex.org/W2922530940","doi":"https://doi.org/10.1109/tkde.2019.2903463","title":"A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation","display_name":"A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation","publication_year":2019,"publication_date":"2019-03-06","ids":{"openalex":"https://openalex.org/W2922530940","doi":"https://doi.org/10.1109/tkde.2019.2903463","mag":"2922530940"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2903463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2903463","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/A5063466614","display_name":"Mohammad Aliannejadi","orcid":"https://orcid.org/0000-0002-9447-4172"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Mohammad Aliannejadi","raw_affiliation_strings":["Faculty of Informatics, Universit\u00e0 della Svizzera Italiana (USI), Lugano, Switzerland"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Universit\u00e0 della Svizzera Italiana (USI), Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034151597","display_name":"Dimitrios Rafailidis","orcid":"https://orcid.org/0000-0002-7366-3716"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dimitrios Rafailidis","raw_affiliation_strings":["Maastricht University, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012367814","display_name":"F\u00e1bio Crestani","orcid":"https://orcid.org/0000-0001-8672-0700"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fabio Crestani","raw_affiliation_strings":["Faculty of Informatics, Universit\u00e0 della Svizzera Italiana (USI), Lugano, Switzerland"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Universit\u00e0 della Svizzera Italiana (USI), Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063466614"],"corresponding_institution_ids":["https://openalex.org/I57201433"],"apc_list":null,"apc_paid":null,"fwci":12.3062,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98533029,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"32","issue":"6","first_page":"1050","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9916999936103821,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8395568132400513},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8142074942588806},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7526002526283264},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6824284195899963},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5878599286079407},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5867245197296143},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5759521126747131},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5211656093597412},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.488500714302063},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48192787170410156},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4805355668067932},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43047767877578735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3687690496444702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3523741364479065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.317790687084198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395568132400513},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8142074942588806},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7526002526283264},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6824284195899963},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5878599286079407},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5867245197296143},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5759521126747131},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5211656093597412},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.488500714302063},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48192787170410156},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4805355668067932},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43047767877578735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3687690496444702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3523741364479065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.317790687084198},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2019.2903463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2903463","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"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire_cris_publications/4965ad63-1a01-41a4-bc1b-444fb0746069","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/4965ad63-1a01-41a4-bc1b-444fb0746069","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Aliannejadi, M, Rafailidis, D & Crestani, F 2020, 'A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation', Ieee Transactions on Knowledge and Data Engineering, vol. 32, no. 6, pp. 1050-1063. https://doi.org/10.1109/TKDE.2019.2903463","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1546409232","https://openalex.org/W1966553486","https://openalex.org/W1972436494","https://openalex.org/W1973435495","https://openalex.org/W1981886741","https://openalex.org/W1984189333","https://openalex.org/W1992435965","https://openalex.org/W1994389483","https://openalex.org/W2010486392","https://openalex.org/W2017921654","https://openalex.org/W2034688657","https://openalex.org/W2035949918","https://openalex.org/W2037351199","https://openalex.org/W2042281163","https://openalex.org/W2044672016","https://openalex.org/W2049478259","https://openalex.org/W2054560962","https://openalex.org/W2054610764","https://openalex.org/W2057991616","https://openalex.org/W2066365352","https://openalex.org/W2073013176","https://openalex.org/W2073021764","https://openalex.org/W2086142729","https://openalex.org/W2087692915","https://openalex.org/W2101409192","https://openalex.org/W2108862644","https://openalex.org/W2109242993","https://openalex.org/W2112430581","https://openalex.org/W2119384858","https://openalex.org/W2121824931","https://openalex.org/W2124187902","https://openalex.org/W2133801994","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2143331230","https://openalex.org/W2149427297","https://openalex.org/W2150921150","https://openalex.org/W2171541062","https://openalex.org/W2171960770","https://openalex.org/W2205235818","https://openalex.org/W2296244148","https://openalex.org/W2362771282","https://openalex.org/W2408538552","https://openalex.org/W2466547271","https://openalex.org/W2509830164","https://openalex.org/W2510010388","https://openalex.org/W2515155379","https://openalex.org/W2521595004","https://openalex.org/W2531272177","https://openalex.org/W2531384334","https://openalex.org/W2536436157","https://openalex.org/W2539781657","https://openalex.org/W2565499358","https://openalex.org/W2584122106","https://openalex.org/W2605213237","https://openalex.org/W2620173427","https://openalex.org/W2643577078","https://openalex.org/W2730085903","https://openalex.org/W2741898449","https://openalex.org/W2750303327","https://openalex.org/W2755570041","https://openalex.org/W2762735242","https://openalex.org/W2767778908","https://openalex.org/W2825858716","https://openalex.org/W2886578856","https://openalex.org/W2964057288","https://openalex.org/W2964239943","https://openalex.org/W3098012129","https://openalex.org/W6632885370","https://openalex.org/W6676312839","https://openalex.org/W6677852491","https://openalex.org/W6678396899","https://openalex.org/W6680830989","https://openalex.org/W6685221346","https://openalex.org/W6688089849","https://openalex.org/W6713960209","https://openalex.org/W6728864075","https://openalex.org/W6753611641","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"The":[0,91],"popularity":[1,85],"of":[2,13,19,39,74,83],"location-based":[3],"social":[4],"networks":[5],"(LBSNs)":[6],"has":[7,35],"led":[8],"to":[9,51,109,128,153,174],"a":[10,23,65,166],"tremendous":[11],"amount":[12],"user":[14,95],"check-in":[15],"data.":[16],"Recommending":[17],"points":[18],"interest":[20],"(POIs)":[21],"plays":[22],"key":[24],"role":[25],"in":[26,30,103,122],"satisfying":[27],"users":[28,87,155],"needs":[29],"LBSNs.":[31],"While":[32],"recent":[33],"work":[34],"explored":[36],"the":[37,71,81,104,107,123,134,139,143,147,160,172],"idea":[38],"adopting":[40],"collaborative":[41,167,192],"ranking":[42,193],"(CR)":[43],"for":[44,55,111],"recommendation,":[45],"there":[46],"have":[47,99],"been":[48,100],"few":[49],"attempts":[50,127],"incorporate":[52],"temporal":[53],"information":[54],"POI":[56,197],"recommendation":[57,161,198],"using":[58],"CR.":[59],"In":[60,146],"this":[61],"article,":[62],"we":[63],"propose":[64],"two-phase":[66],"CR":[67],"algorithm":[68,151],"that":[69,98,170,188],"incorporates":[70],"geographical":[72,144],"influence":[73],"POIs":[75,84,97,131,157],"and":[76,86,96,137],"is":[77],"regularized":[78],"based":[79],"on":[80,159,184],"variance":[82],"activities":[88],"over":[89],"time.":[90],"time-sensitive":[92,102,191],"regularizer":[93],"penalizes":[94],"more":[101],"past,":[105],"helping":[106],"model":[108,173,194],"account":[110],"their":[112],"long-term":[113],"behavioral":[114],"patterns":[115],"while":[116],"learning":[117,168],"from":[118,179],"user-POI":[119],"interactions.":[120],"Moreover,":[121],"first":[124],"phase,":[125,149],"it":[126],"rank":[129,154],"visited":[130],"higher":[132,158],"than":[133],"unvisited":[135],"ones,":[136],"at":[138],"same":[140],"time,":[141],"apply":[142],"influence.":[145],"second":[148],"our":[150,189],"tries":[152],"favorite":[156],"list.":[162],"Both":[163],"phases":[164],"employ":[165],"strategy":[169],"enables":[171],"capture":[175],"complex":[176],"latent":[177],"associations":[178],"two":[180],"different":[181],"perspectives.":[182],"Experiments":[183],"real-world":[185],"datasets":[186],"show":[187],"proposed":[190],"beats":[195],"state-of-the-art":[196],"methods.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}