{"id":"https://openalex.org/W4413181912","doi":"https://doi.org/10.3390/systems13080682","title":"Context-Driven Recommendation via Heterogeneous Temporal Modeling and Large Language Model in the Takeout System","display_name":"Context-Driven Recommendation via Heterogeneous Temporal Modeling and Large Language Model in the Takeout System","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4413181912","doi":"https://doi.org/10.3390/systems13080682"},"language":"en","primary_location":{"id":"doi:10.3390/systems13080682","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13080682","pdf_url":"https://www.mdpi.com/2079-8954/13/8/682/pdf","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/13/8/682/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115605011","display_name":"Wei Deng","orcid":"https://orcid.org/0000-0001-9781-3101"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Deng","raw_affiliation_strings":["School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0001-9781-3101","affiliations":[{"raw_affiliation_string":"School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107849730","display_name":"D. Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyi Hu","raw_affiliation_strings":["School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0009-0001-1494-1819","affiliations":[{"raw_affiliation_string":"School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088610142","display_name":"Zilong Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Guizhou University of Finance and Economics, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Guizhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364041","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-7973-2746"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347720","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0002-5729-0163"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Shi","raw_affiliation_strings":["The Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China","University of Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100347720"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250","https://openalex.org/I4210165038"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28699205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"8","first_page":"682","last_page":"682"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9810000061988831,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9556999802589417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735657811164856},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.624580442905426},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08470398187637329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735657811164856},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.624580442905426},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08470398187637329},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/systems13080682","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13080682","pdf_url":"https://www.mdpi.com/2079-8954/13/8/682/pdf","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f8ac14ee94544998b02d59b1d97367bf","is_oa":true,"landing_page_url":"https://doaj.org/article/f8ac14ee94544998b02d59b1d97367bf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 13, Iss 8, p 682 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/systems13080682","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13080682","pdf_url":"https://www.mdpi.com/2079-8954/13/8/682/pdf","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G157566896","display_name":null,"funder_award_id":"72231010, 71932008,  72362004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2940208285","display_name":null,"funder_award_id":"71932008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3067477274","display_name":null,"funder_award_id":"72362004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6463167065","display_name":null,"funder_award_id":"72231010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G876213173","display_name":null,"funder_award_id":"grant numbers qiankehejichu[2024]Youth183, qiankehejichu-ZK[2022]yiban019 , qiankehezhichengDXGA[2025]yiban014","funder_id":"https://openalex.org/F4320322272","funder_display_name":"Guizhou Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"},{"id":"https://openalex.org/F4320322272","display_name":"Guizhou Science and Technology Department","ror":"https://ror.org/00kwnh405"},{"id":"https://openalex.org/F4320324883","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413181912.pdf","grobid_xml":"https://content.openalex.org/works/W4413181912.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1690919088","https://openalex.org/W1967661515","https://openalex.org/W1973763660","https://openalex.org/W2033219656","https://openalex.org/W2080957047","https://openalex.org/W2090883204","https://openalex.org/W2100235918","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2469952266","https://openalex.org/W2514815078","https://openalex.org/W2723293840","https://openalex.org/W2809307135","https://openalex.org/W2890791673","https://openalex.org/W2916956860","https://openalex.org/W2962745591","https://openalex.org/W2962960341","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964182926","https://openalex.org/W2965744319","https://openalex.org/W2979808051","https://openalex.org/W2996931760","https://openalex.org/W3004760356","https://openalex.org/W3007473102","https://openalex.org/W3035063214","https://openalex.org/W3043590771","https://openalex.org/W3093945404","https://openalex.org/W3097300053","https://openalex.org/W3100480425","https://openalex.org/W3118872470","https://openalex.org/W3153687269","https://openalex.org/W3208227120","https://openalex.org/W3208497284","https://openalex.org/W4206042814","https://openalex.org/W4224940316","https://openalex.org/W4283065823","https://openalex.org/W4285212010","https://openalex.org/W4292369130","https://openalex.org/W4313420087","https://openalex.org/W4316829903","https://openalex.org/W4323894830","https://openalex.org/W4366496327","https://openalex.org/W4368755500","https://openalex.org/W4385801378","https://openalex.org/W4386158527","https://openalex.org/W4389060417","https://openalex.org/W4392124062","https://openalex.org/W4392222309","https://openalex.org/W4392902926","https://openalex.org/W4393153538","https://openalex.org/W4394625516","https://openalex.org/W4394935158","https://openalex.org/W4398255119","https://openalex.org/W4399978597","https://openalex.org/W4400581101","https://openalex.org/W4400770735","https://openalex.org/W4401201922","https://openalex.org/W4411182079","https://openalex.org/W4411644201","https://openalex.org/W6687483927","https://openalex.org/W6739901393","https://openalex.org/W6785482172","https://openalex.org/W6839739471","https://openalex.org/W6854836567","https://openalex.org/W6987477883"],"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":{"On":[0],"food":[1],"delivery":[2],"platforms,":[3],"user":[4,32],"decisions":[5],"are":[6],"often":[7],"driven":[8],"by":[9],"dynamic":[10,195],"contextual":[11,107,182],"factors":[12],"such":[13,27],"as":[14,140,184],"time,":[15],"intent,":[16],"and":[17,37,65,96,114,132,167,187],"lifestyle":[18],"patterns.":[19,39],"Traditional":[20],"context-aware":[21],"recommender":[22],"systems":[23],"struggle":[24],"to":[25,79,101,121,129,144,178],"capture":[26,94],"implicit":[28,106,127,181],"signals,":[29],"especially":[30],"when":[31],"behavior":[33],"spans":[34],"heterogeneous":[35,112],"long-":[36],"short-term":[38],"To":[40],"address":[41],"this,":[42],"we":[43],"propose":[44],"a":[45,51,57,85,92,97,141,152],"context-driven":[46],"recommendation":[47,169],"framework":[48],"that":[49,156],"integrates":[50],"hybrid":[52,86],"sequence":[53],"modeling":[54],"architecture":[55],"with":[56],"Large":[58],"Language":[59],"Model":[60],"for":[61,193],"post":[62],"hoc":[63],"reasoning":[64,136],"reranking.":[66,148],"Specifically,":[67],"the":[68,111,135,175],"solution":[69],"tackles":[70],"several":[71],"key":[72],"issues:":[73],"(1)":[74],"integration":[75],"of":[76,91,105,138],"multimodal":[77],"features":[78],"achieve":[80],"explicit":[81],"context":[82,93,98,123],"fusion":[83,87],"through":[84],"strategy;":[88],"(2)":[89],"introduction":[90],"layer":[95,100],"propagation":[99],"enable":[102],"effective":[103,192],"encoding":[104],"states":[108],"hidden":[109],"in":[110,163,197],"long":[113],"short":[115],"term;":[116],"(3)":[117],"cross":[118],"attention":[119],"mechanisms":[120],"facilitate":[122],"retrospection,":[124],"which":[125],"allows":[126],"contexts":[128],"be":[130],"uncovered;":[131],"(4)":[133],"leveraging":[134],"capabilities":[137],"DeepSeek-R1":[139],"post-processing":[142],"step":[143],"perform":[145],"open":[146],"knowledge-enhanced":[147],"Extensive":[149],"experiments":[150],"on":[151],"real-world":[153],"dataset":[154],"show":[155],"our":[157],"approach":[158],"significantly":[159],"outperforms":[160],"strong":[161],"baselines":[162],"both":[164],"prediction":[165],"accuracy":[166],"Top-K":[168],"quality.":[170],"Case":[171],"studies":[172],"further":[173],"demonstrate":[174],"model\u2019s":[176],"ability":[177],"uncover":[179],"nuanced,":[180],"cues\u2014such":[183],"family":[185],"roles":[186],"holiday-specific":[188],"behaviors\u2014making":[189],"it":[190],"particularly":[191],"personalized,":[194],"recommendations":[196],"high-frequency":[198],"scenes.":[199]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
