{"id":"https://openalex.org/W4296591852","doi":"https://doi.org/10.1145/3523227.3546787","title":"MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer","display_name":"MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296591852","doi":"https://doi.org/10.1145/3523227.3546787"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3546787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3546787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","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/A5037557352","display_name":"Bhumika Bhumika","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Bhumika","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Jodhpur, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029519822","display_name":"Debasis Das","orcid":"https://orcid.org/0000-0001-6205-4096"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debasis Das","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Jodhpur, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037557352"],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":1.1943,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78020232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9979000091552734,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8171060085296631},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5258291959762573},{"id":"https://openalex.org/keywords/route-planning","display_name":"Route planning","score":0.48298966884613037},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.454456090927124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3390619158744812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3291895389556885},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2353842556476593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171060085296631},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5258291959762573},{"id":"https://openalex.org/C2989549987","wikidata":"https://www.wikidata.org/wiki/Q350882","display_name":"Route planning","level":2,"score":0.48298966884613037},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.454456090927124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3390619158744812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3291895389556885},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2353842556476593},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3546787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3546787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5897415555","display_name":null,"funder_award_id":"GITA/DST/TWN/P-92/2021","funder_id":"https://openalex.org/F4320320719","funder_display_name":"Department of Science and Technology, Ministry of Science and Technology, India"}],"funders":[{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1991001067","https://openalex.org/W2008003976","https://openalex.org/W2021700273","https://openalex.org/W2026179748","https://openalex.org/W2111142764","https://openalex.org/W2153635508","https://openalex.org/W2171267841","https://openalex.org/W2199318833","https://openalex.org/W2497258469","https://openalex.org/W2539781657","https://openalex.org/W2549766072","https://openalex.org/W2788114581","https://openalex.org/W2798249343","https://openalex.org/W2810586154","https://openalex.org/W2911535719","https://openalex.org/W2997643818","https://openalex.org/W3012562343","https://openalex.org/W3015302520","https://openalex.org/W3034826934","https://openalex.org/W3045703642","https://openalex.org/W3091498055","https://openalex.org/W3092047133","https://openalex.org/W3132881848","https://openalex.org/W4239167255"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W638961672","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4391811510","https://openalex.org/W2350149297","https://openalex.org/W4390590544"],"abstract_inverted_index":{"One":[0],"of":[1,63,93,124],"the":[2,104,122,127],"most":[3,14],"significant":[4],"map":[5],"services":[6],"in":[7],"navigation":[8],"applications":[9],"is":[10,109],"route":[11,15,29,41,113,131],"recommendation.":[12],"However,":[13],"recommendation":[16,42],"systems":[17],"only":[18],"recommend":[19],"trips":[20],"based":[21,44],"on":[22,45],"time":[23],"and":[24,28,61,71,83,90,102,129],"distance,":[25],"impacting":[26],"quality-of-experience":[27],"selection.":[30,132],"This":[31],"paper":[32],"introduces":[33],"a":[34,39,68,77,99],"novel":[35],"framework,":[36],"namely":[37],"MARRS,":[38],"multi-objective":[40],"system":[43],"heterogeneous":[46],"urban":[47],"sensing":[48],"open":[49],"data":[50],"(i.e.,":[51],"crime,":[52,88],"accident,":[53,89],"traffic":[54,91],"flow,":[55],"road":[56,95],"network,":[57],"meteorological,":[58],"calendar":[59],"event,":[60],"point":[62],"interest":[64],"distributions).":[65],"We":[66],"introduce":[67],"wide,":[69],"deep,":[70],"multitask-learning":[72],"(WD-MTL)":[73],"framework":[74],"that":[75],"uses":[76],"transformer":[78],"to":[79,111],"extract":[80],"spatial,":[81],"temporal,":[82],"semantic":[84],"correlation":[85],"for":[86,98],"predicting":[87],"flow":[92],"particular":[94,100],"segment.":[96],"Later,":[97],"source":[101],"destination,":[103],"adaptive":[105],"epsilon":[106],"constraint":[107],"technique":[108],"used":[110],"optimize":[112],"satisfying":[114],"multiple":[115],"objective":[116],"functions.":[117],"The":[118],"experimental":[119],"results":[120],"demonstrate":[121],"feasibility":[123],"figuring":[125],"out":[126],"safest":[128],"efficient":[130]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}