{"id":"https://openalex.org/W2044672016","doi":"https://doi.org/10.1145/2766462.2767722","title":"Rank-GeoFM","display_name":"Rank-GeoFM","publication_year":2015,"publication_date":"2015-08-04","ids":{"openalex":"https://openalex.org/W2044672016","doi":"https://doi.org/10.1145/2766462.2767722","mag":"2044672016"},"language":"en","primary_location":{"id":"doi:10.1145/2766462.2767722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766462.2767722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5004516417","display_name":"Xutao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xutao Li","raw_affiliation_strings":["Institute for Infocomm Research(I2R), A*STAR, Singapore, Singapore","Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research(I2R), A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418684","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0002-0762-6562"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiao-Li Li","raw_affiliation_strings":["Institute for Infocomm Research(I2R), A*STAR, Singapore, Singapore","Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research(I2R), A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048092944","display_name":"Tuan-Anh Nguyen Pham","orcid":"https://orcid.org/0000-0002-1342-3841"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tuan-Anh Nguyen Pham","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079470760","display_name":"Shonali Krishnaswamy","orcid":"https://orcid.org/0009-0001-4601-3830"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shonali Krishnaswamy","raw_affiliation_strings":["Institute for Infocomm Research(I2R), A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research(I2R), A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004516417"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I172675005","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":86.313,"has_fulltext":false,"cited_by_count":336,"citation_normalized_percentile":{"value":0.99946761,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9894999861717224,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9514999985694885,"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/computer-science","display_name":"Computer science","score":0.8308068513870239},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6597226858139038},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6466349959373474},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5687847137451172},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5523555278778076},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.511534571647644},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48715707659721375},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4826505780220032},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4629984498023987},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46055757999420166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43921053409576416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42455923557281494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3800289034843445},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09062111377716064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08808845281600952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07572832703590393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308068513870239},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6597226858139038},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6466349959373474},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5687847137451172},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5523555278778076},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.511534571647644},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48715707659721375},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4826505780220032},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4629984498023987},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46055757999420166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43921053409576416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42455923557281494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3800289034843445},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09062111377716064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08808845281600952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07572832703590393},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2766462.2767722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766462.2767722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321026","display_name":"Ministry of Earth Sciences","ror":"https://ror.org/013cf5k59"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W7143572","https://openalex.org/W1490382064","https://openalex.org/W1546409232","https://openalex.org/W1937641174","https://openalex.org/W1967635926","https://openalex.org/W1972436494","https://openalex.org/W1984189333","https://openalex.org/W1987063155","https://openalex.org/W1999956270","https://openalex.org/W2009779426","https://openalex.org/W2017921654","https://openalex.org/W2054560962","https://openalex.org/W2057991616","https://openalex.org/W2061212083","https://openalex.org/W2072609015","https://openalex.org/W2073013176","https://openalex.org/W2086142729","https://openalex.org/W2087692915","https://openalex.org/W2089349245","https://openalex.org/W2102765684","https://openalex.org/W2117587045","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2149814409","https://openalex.org/W2189936406","https://openalex.org/W2205235818","https://openalex.org/W2408538552","https://openalex.org/W6640643859","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W4390446658","https://openalex.org/W2138488530","https://openalex.org/W3048565508","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"With":[0],"the":[1,20,23,77,81,87,96,100,116,120,141,157,176,179,189,193],"rapid":[2],"growth":[3],"of":[4,9,22,28,44,136,178,199],"location-based":[5],"social":[6],"networks,":[7],"Point":[8],"Interest":[10],"(POI)":[11],"recommendation":[12,39,200],"has":[13],"become":[14],"an":[15],"important":[16],"research":[17],"problem.":[18],"However,":[19],"scarcity":[21],"check-in":[24,88],"data,":[25,31],"a":[26,33,64,149],"type":[27],"implicit":[29],"feedback":[30],"poses":[32],"severe":[34],"challenge":[35],"for":[36,72],"existing":[37],"POI":[38,73],"methods.":[40],"Moreover,":[41],"different":[42,134],"types":[43,135],"context":[45,137],"information":[46],"about":[47],"POIs":[48,101,106],"are":[49],"available":[50,162],"and":[51,94,109,118,144,168],"how":[52],"to":[53,114,155,174],"leverage":[54],"them":[55],"becomes":[56],"another":[57],"challenge.":[58],"In":[59,80,103,127],"this":[60],"paper,":[61],"we":[62,84],"propose":[63,148],"ranking":[65,99,117],"based":[66,153],"geographical":[67,142],"factorization":[68,97],"method,":[69],"called":[70],"Rank-GeoFM,":[71],"recommendation,":[74],"which":[75],"addresses":[76],"two":[78],"challenges.":[79],"proposed":[82,180,190],"model,":[83,105],"consider":[85],"that":[86,188],"frequency":[89],"characterizes":[90],"users'":[91],"visiting":[92],"preference":[93],"learn":[95,156],"by":[98],"correctly.":[102],"our":[104,129],"both":[107,165,185],"with":[108],"without":[110],"check-ins":[111],"will":[112],"contribute":[113],"learning":[115],"thus":[119],"data":[121],"sparsity":[122],"problem":[123],"can":[124,131],"be":[125],"alleviated.":[126],"addition,":[128],"model":[130],"easily":[132],"incorporate":[133],"information,":[138],"such":[139],"as":[140],"influence":[143],"temporal":[145],"influence.":[146],"We":[147],"stochastic":[150],"gradient":[151],"descent":[152],"algorithm":[154],"factorization.":[158],"Experiments":[159],"on":[160],"publicly":[161],"datasets":[163],"under":[164,184],"user-POI":[166],"setting":[167,170],"user-time-POI":[169],"have":[171],"been":[172],"conducted":[173],"test":[175],"effectiveness":[177],"method.":[181],"Experimental":[182],"results":[183],"settings":[186],"show":[187],"method":[191],"outperforms":[192],"state-of-the-art":[194],"methods":[195],"significantly":[196],"in":[197],"terms":[198],"accuracy.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":47},{"year":2020,"cited_by_count":55},{"year":2019,"cited_by_count":53},{"year":2018,"cited_by_count":39},{"year":2017,"cited_by_count":35},{"year":2016,"cited_by_count":28},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}