{"id":"https://openalex.org/W4414272292","doi":"https://doi.org/10.1109/ichms65439.2025.11154359","title":"CoCo-POI: Collaborative Contrastive Learning for Point-of-Interest Recommendation","display_name":"CoCo-POI: Collaborative Contrastive Learning for Point-of-Interest Recommendation","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4414272292","doi":"https://doi.org/10.1109/ichms65439.2025.11154359"},"language":"en","primary_location":{"id":"doi:10.1109/ichms65439.2025.11154359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms65439.2025.11154359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS)","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/A5099269042","display_name":"Esmatollah Rezaei","orcid":null},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Esmatollah Rezaei","raw_affiliation_strings":["Dept. of Electrical Engineering Yazd University,Yazd,Iran"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering Yazd University,Yazd,Iran","institution_ids":["https://openalex.org/I112536369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058233812","display_name":"S. Jamal Seyedmohammadi","orcid":"https://orcid.org/0000-0002-1224-7698"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Jamal Seyedmohammadi","raw_affiliation_strings":["Inst. of Information Systems Engineering, Concordia University,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Inst. of Information Systems Engineering, Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005991940","display_name":"S. Kawa Atapour","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Kawa Atapour","raw_affiliation_strings":["Inst. of Information Systems Engineering, Concordia University,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Inst. of Information Systems Engineering, Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033482691","display_name":"Ali Abouei Mehrizi","orcid":"https://orcid.org/0000-0002-7515-9855"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Abouei","raw_affiliation_strings":["University of Alberta Edmonton,Dept. of Computing Science,Alberta,Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta Edmonton,Dept. of Computing Science,Alberta,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013844176","display_name":"Jamshid Abouei","orcid":"https://orcid.org/0000-0002-2608-6100"},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Jamshid Abouei","raw_affiliation_strings":["Dept. of Electrical Engineering Yazd University,Yazd,Iran"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering Yazd University,Yazd,Iran","institution_ids":["https://openalex.org/I112536369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058253407","display_name":"Arash Mohammadi","orcid":"https://orcid.org/0000-0003-1972-7923"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arash Mohammadi","raw_affiliation_strings":["Inst. of Information Systems Engineering, Concordia University,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Inst. of Information Systems Engineering, Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5099269042"],"corresponding_institution_ids":["https://openalex.org/I112536369"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36056942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9736999869346619,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/personalization","display_name":"Personalization","score":0.6546000242233276},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5885999798774719},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4690000116825104},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.4650999903678894},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4553000032901764},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.3328999876976013},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.3179999887943268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277000188827515},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6546000242233276},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5885999798774719},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38499999046325684},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3179999887943268},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichms65439.2025.11154359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms65439.2025.11154359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2848434714","display_name":null,"funder_award_id":"RGPIN-2023-05654","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2017921654","https://openalex.org/W2072609015","https://openalex.org/W2643577078","https://openalex.org/W3011892127","https://openalex.org/W3012782947","https://openalex.org/W3035725276","https://openalex.org/W3086419239","https://openalex.org/W3128267727","https://openalex.org/W3145363636","https://openalex.org/W3176923149","https://openalex.org/W3217176841","https://openalex.org/W4290648792","https://openalex.org/W4312221336","https://openalex.org/W4361275899","https://openalex.org/W4382239876","https://openalex.org/W4384887356","https://openalex.org/W4386072346","https://openalex.org/W4386746103","https://openalex.org/W4387374535","https://openalex.org/W4396757569","https://openalex.org/W4399689909","https://openalex.org/W4399801456","https://openalex.org/W4401597494","https://openalex.org/W4403331826","https://openalex.org/W4408145149","https://openalex.org/W4409965300"],"related_works":[],"abstract_inverted_index":{"Next":[0],"Point-Of-Interest":[1],"(POI)":[2],"recommendation":[3,81,141],"is":[4],"essential":[5],"for":[6,79,94],"optimizing":[7,58],"user":[8],"travel":[9],"experiences":[10],"and":[11,37,41,53,61,100],"enhancing":[12],"platform":[13],"revenues":[14],"by":[15],"providing":[16],"users":[17],"with":[18],"potentially":[19],"attractive":[20],"location":[21],"options.":[22],"Traditional":[23],"centralized":[24],"systems":[25,46],"depend":[26],"on":[27,97,108],"extensive":[28],"datasets":[29],"of":[30,122],"prior":[31],"POI":[32,80,140],"check-ins,":[33],"raising":[34],"significant":[35],"privacy":[36],"computational":[38,59],"concerns.":[39],"Centralized":[40],"decentralized":[42],"Federated":[43,85],"Learning":[44],"(FL)":[45],"face":[47],"key":[48],"challenges,":[49,68],"including":[50],"balancing":[51],"personalization":[52],"privacy,":[54],"reducing":[55],"communication":[56,127],"overhead,":[57],"costs,":[60],"addressing":[62],"data":[63,95],"sparsity.":[64],"To":[65],"tackle":[66],"these":[67],"we":[69],"propose":[70],"the":[71,120,138],"CoCo-POI":[72,90,133],"algorithm,":[73],"a":[74,84,102],"collaborative":[75],"contrastive":[76,92],"learning":[77,93],"framework":[78],"that":[82,132],"leverages":[83],"Knowledge":[86],"Distillation":[87],"(FKD)":[88],"approach.":[89],"utilizes":[91],"augmentation":[96],"local":[98,123],"devices,":[99],"employs":[101],"neighbor":[103],"knowledge":[104,124],"aggregation":[105],"method":[106],"based":[107],"similar":[109],"soft":[110],"decisions.":[111],"Additionally,":[112],"it":[113],"uses":[114],"sparse":[115],"compression":[116],"techniques":[117],"to":[118],"decrease":[119],"size":[121],"sets,":[125],"thereby":[126],"costs.":[128],"Experimental":[129],"results":[130],"demonstrate":[131],"achieves":[134],"superior":[135],"outcomes":[136],"in":[137,146],"next":[139],"tasks":[142],"while":[143],"maintaining":[144],"efficiency":[145],"resource":[147],"utilization.":[148]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
