{"id":"https://openalex.org/W4396758710","doi":"https://doi.org/10.1145/3589334.3645449","title":"MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations","display_name":"MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396758710","doi":"https://doi.org/10.1145/3589334.3645449"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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/A5052652546","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0003-4979-0608"},"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":true,"raw_author_name":"Yang Xu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","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"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041068245","display_name":"Lizhen Cui","orcid":"https://orcid.org/0009-0004-1854-9592"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052652546"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":11.8961,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98431602,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3454","last_page":"3463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9925000071525574,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9918000102043152,"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/modal","display_name":"Modal","score":0.8115674257278442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7408642768859863},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5545654296875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05912989377975464}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.8115674257278442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408642768859863},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5545654296875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05912989377975464},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2017921654","https://openalex.org/W2073013176","https://openalex.org/W2963677766","https://openalex.org/W2964258748","https://openalex.org/W2970641574","https://openalex.org/W2982108874","https://openalex.org/W2997574527","https://openalex.org/W3005838368","https://openalex.org/W3034646226","https://openalex.org/W3080292238","https://openalex.org/W3093002391","https://openalex.org/W3140535812","https://openalex.org/W3160345923","https://openalex.org/W3168146412","https://openalex.org/W3173650575","https://openalex.org/W3192113933","https://openalex.org/W3198659451","https://openalex.org/W3205778609","https://openalex.org/W4210362858","https://openalex.org/W4224316819","https://openalex.org/W4226249886","https://openalex.org/W4284668299","https://openalex.org/W4285606231","https://openalex.org/W4289533859","https://openalex.org/W4290943973","https://openalex.org/W4318718936","https://openalex.org/W4321480031","https://openalex.org/W4321593910","https://openalex.org/W4322718576","https://openalex.org/W4382239876","https://openalex.org/W4384642752","https://openalex.org/W4384655702","https://openalex.org/W4384656510","https://openalex.org/W4384895066"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"Point-of-Interest":[1],"(POI)":[2],"recommendation":[3,85,174,188,203],"system,":[4],"designed":[5],"to":[6,47,120,137],"recommend":[7],"potential":[8],"future":[9],"visits":[10],"of":[11,21,41,92],"users":[12,34],"based":[13],"on":[14,53,178],"their":[15],"check-in":[16,55,152],"sequences,":[17,56],"faces":[18],"the":[19,29,59,90,129,147,171,197,200],"challenge":[20,25],"data":[22,30,93],"scarcity.":[23],"This":[24],"primarily":[26],"stems":[27],"from":[28,102,124],"sparsity":[31,94],"issue,":[32],"namely":[33],"interact":[35],"with":[36,71,151],"only":[37],"a":[38,78,103,116,139],"small":[39],"number":[40],"POIs.":[42,72],"Most":[43],"existing":[44],"studies":[45],"attempt":[46],"solve":[48],"this":[49,74],"problem":[50],"by":[51,95],"focusing":[52],"POI":[54,84,173,187,202],"without":[57],"considering":[58],"substantial":[60],"multi-modal":[61,80,97,148,164,201],"content":[62,98],"information":[63,99],"(e.g.":[64],"textual":[65],"and":[66,114,167,199],"image":[67],"data)":[68],"commonly":[69],"associated":[70],"In":[73],"paper,":[75],"we":[76,155,193,205],"propose":[77,136],"novel":[79],"content-aware":[81],"framework":[82],"for":[83,111,170],"(MMPOI).":[86],"Our":[87],"approach":[88],"addresses":[89],"issue":[91],"incorporating":[96],"about":[100],"POIs":[101],"new":[104],"perspective.":[105],"Specifically,":[106],"MMPOI":[107,184],"leverages":[108],"pre-trained":[109,118],"models":[110,162],"inter-modal":[112],"conversion":[113],"employs":[115],"unified":[117],"model":[119],"extract":[121],"modal-specific":[122],"features":[123],"each":[125],"modality,":[126],"effectively":[127],"bridging":[128],"semantic":[130,149],"gap":[131],"between":[132],"different":[133],"modalities.":[134],"We":[135],"build":[138],"Multi-Modal":[140],"Trajectory":[141],"Flow":[142],"Graph":[143],"(MTFG)":[144],"which":[145],"combines":[146],"structure":[150],"sequences.":[153],"Moreover,":[154],"design":[156],"an":[157],"adaptive":[158],"multi-task":[159],"Transformer":[160],"that":[161,183],"users'":[163],"movement":[165],"patterns":[166],"integrates":[168],"them":[169],"next":[172],"tasks.":[175],"Extensive":[176],"experiments":[177],"four":[179],"real-world":[180],"datasets":[181,204],"demonstrate":[182],"outperforms":[185],"state-of-the-art":[186],"methods.":[189],"To":[190],"facilitate":[191],"reproducibility,":[192],"have":[194],"released":[195],"both":[196],"code":[198],"collect":[206],"https://github.com/zzmylq/MMPOI":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
