{"id":"https://openalex.org/W4414034809","doi":"https://doi.org/10.1145/3705328.3759339","title":"Flights Pricelock Fee Recommendation on Online Travel Agent Platform","display_name":"Flights Pricelock Fee Recommendation on Online Travel Agent Platform","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034809","doi":"https://doi.org/10.1145/3705328.3759339"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3759339","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3759339","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759339","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759339","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119556678","display_name":"Akash Khetan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Akash Khetan","raw_affiliation_strings":["MakeMyTrip pvt ltd, Bangalore, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0001-0569-0894","affiliations":[{"raw_affiliation_string":"MakeMyTrip pvt ltd, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I4210117576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556679","display_name":"Narasimha Medeme","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Narasimha Medeme","raw_affiliation_strings":["MakeMyTrip pvt Ltd, Bangalore, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0006-5008-5825","affiliations":[{"raw_affiliation_string":"MakeMyTrip pvt Ltd, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I4210117576"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Deepak Yadav","orcid":"https://orcid.org/0009-0007-5338-4393"},"institutions":[{"id":"https://openalex.org/I4210108369","display_name":"Fortis Memorial Research Institute","ror":"https://ror.org/01h7phh70","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210108369"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Yadav","raw_affiliation_strings":["MakeMyTrip pvt Ltd, Gurgaon, India"],"raw_orcid":"https://orcid.org/0009-0007-5338-4393","affiliations":[{"raw_affiliation_string":"MakeMyTrip pvt Ltd, Gurgaon, India","institution_ids":["https://openalex.org/I4210108369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119556680","display_name":"Anmol Porwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anmol Porwal","raw_affiliation_strings":["MakeMyTrip pvt Ltd, Bangalore, karnataka, India"],"raw_orcid":"https://orcid.org/0009-0002-3931-8684","affiliations":[{"raw_affiliation_string":"MakeMyTrip pvt Ltd, Bangalore, karnataka, India","institution_ids":["https://openalex.org/I4210117576"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119556678"],"corresponding_institution_ids":["https://openalex.org/I4210117576"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2756873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1334","last_page":"1336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9692999720573425,"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":0.9692999720573425,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9675999879837036,"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":0.5555089116096497},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3236572742462158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5555089116096497},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3236572742462158}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705328.3759339","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3759339","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759339","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3705328.3759339","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3759339","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759339","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414034809.pdf","grobid_xml":"https://content.openalex.org/works/W4414034809.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2186222003","https://openalex.org/W2592170186","https://openalex.org/W2949208911","https://openalex.org/W3097760447","https://openalex.org/W4220829848","https://openalex.org/W4365799947"],"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":{"In":[0],"this":[1,59,74,122],"study,":[2],"we":[3,98],"present":[4],"a":[5,26,35,77,109,137],"neural":[6],"network":[7],"(NN)":[8],"based":[9],"recommender":[10,159],"system":[11,123],"with":[12,151],"novel":[13,110],"custom":[14,152],"loss":[15,111,153],"function":[16,112],"developed":[17],"to":[18,33],"recommend":[19],"fee":[20],"for":[21],"its":[22],"pricelock":[23],"product.It":[24],"is":[25],"popular":[27],"add-on":[28],"product":[29,60],"that":[30],"allows":[31],"users":[32],"lock":[34],"flight":[36,53],"price":[37,50,68,83,104,134],"and":[38,128],"book":[39],"it":[40],"later":[41],"at":[42],"the":[43,49,64,100,145],"same":[44],"locked":[45],"price,":[46],"even":[47],"if":[48],"increases":[51],"while":[52],"booking.The":[54],"core":[55],"challenge":[56],"in":[57,62,136,155],"enabling":[58,131],"lies":[61],"predicting":[63],"magnitude":[65],"of":[66,103,147],"future":[67],"changes":[69],"over":[70],"time":[71,93],"horizons.We":[72],"formulate":[73],"problem":[75],"as":[76,88,96],"multi-task":[78],"learning":[79],"(MTL)":[80],"setup,":[81],"where":[82],"change":[84,105],"magnitudes":[85],"are":[86],"modeled":[87,95],"ordinal":[89,101],"categories":[90],"across":[91],"several":[92],"intervals":[94],"heads.Crucially,":[97],"address":[99],"nature":[102],"buckets":[106],"by":[107],"introducing":[108],"called":[113],"Learnable":[114],"Soft":[115],"Ordinal":[116],"Regression":[117],"(L-SORD).Our":[118],"demo":[119],"showcases":[120],"how":[121],"improves":[124],"both":[125],"predictive":[126],"accuracy":[127],"revenue":[129],"performance,":[130],"more":[132],"effective":[133],"recommendations":[135],"high":[138],"stakes,":[139],"real":[140],"world":[141],"environment.This":[142],"work":[143],"highlights":[144],"potential":[146],"combining":[148],"MTL":[149],"architectures":[150],"functions":[154],"production":[156],"grade":[157],"pricing":[158],"systems.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}