{"id":"https://openalex.org/W7162673001","doi":"https://doi.org/10.1145/3774905.3795719","title":"LLM-augmented Hybrid Recommendation System for Structured Classification of Customs Commodity Descriptions","display_name":"LLM-augmented Hybrid Recommendation System for Structured Classification of Customs Commodity Descriptions","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162673001","doi":"https://doi.org/10.1145/3774905.3795719"},"language":null,"primary_location":{"id":"doi:10.1145/3774905.3795719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795719","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774905.3795719","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123422819","display_name":"Ivan Malashin","orcid":null},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan P. Malashin","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0008-8986-402X","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081253409","display_name":"Igor Masich","orcid":"https://orcid.org/0000-0002-3997-342X"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor S. Masich","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-3997-342X","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134686798","display_name":"Vadim S. Tynchenko","orcid":null},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vadim S. Tynchenko","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-3959-2969","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135340534","display_name":"Aleksei S. Borodulin","orcid":"https://orcid.org/0000-0002-9648-2395"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksei S. Borodulin","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-9648-2395","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135348455","display_name":"Andrei P. Gantimurov","orcid":"https://orcid.org/0009-0001-4246-9742"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrei P. Gantimurov","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0001-4246-9742","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041862","display_name":"Vladimir A. Nelyub","orcid":"https://orcid.org/0000-0001-6712-7135"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir A. Nelyub","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0003-4263-2367","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135290669","display_name":"Dmitry A. Martysyuk","orcid":"https://orcid.org/0000-0002-1563-4036"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry A. Martysyuk","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-1563-4036","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136061551","display_name":"Sergei O. Kurashkin","orcid":null},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergei O. Kurashkin","raw_affiliation_strings":["Bauman Moscow State Technical University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-4017-4369","affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I177537411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177537411"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"721","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.13210000097751617,"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":0.13210000097751617,"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/T12384","display_name":"Customer churn and segmentation","score":0.06109999865293503,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.060600001364946365,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/recommender-system","display_name":"Recommender system","score":0.5394999980926514},{"id":"https://openalex.org/keywords/commodity","display_name":"Commodity","score":0.42239999771118164},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.27720001339912415},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.27410000562667847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950000286102295},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5394999980926514},{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.335999995470047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32429999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.301800012588501},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774905.3795719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795719","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774905.3795719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795719","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2080097338","https://openalex.org/W2120844411","https://openalex.org/W2162340487","https://openalex.org/W2316779280","https://openalex.org/W2363942729","https://openalex.org/W2620010969","https://openalex.org/W2786897010","https://openalex.org/W2791382412","https://openalex.org/W2918064209","https://openalex.org/W2972380778","https://openalex.org/W2981089724","https://openalex.org/W3007164477","https://openalex.org/W3049596049","https://openalex.org/W3084540456","https://openalex.org/W3096072226","https://openalex.org/W4293062619","https://openalex.org/W4308555882","https://openalex.org/W4379743587","https://openalex.org/W4392915461","https://openalex.org/W4394994587","https://openalex.org/W4401834466","https://openalex.org/W4404190927","https://openalex.org/W4413772162","https://openalex.org/W7133192941"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,75],"pipeline":[4],"for":[5,195,201],"structured":[6],"information":[7],"extraction":[8],"and":[9,27,30,46,185,190,203],"commodity":[10],"classification":[11,45],"from":[12],"unstructured":[13],"customs":[14,42,57,80],"declaration":[15],"texts":[16],"using":[17,59],"sparse":[19,145],"Mixture-of-Experts":[20],"large":[21],"language":[22],"model":[23,84],"with":[24,94,104,165],"deterministic":[25,95],"post-processing":[26,96],"rule-based":[28],"validation,":[29],"integrates":[31],"the":[32,56,83,98,107,114,134,144],"extracted":[33],"outputs":[34,89],"into":[35],"an":[36,120],"interactive":[37],"recommendation":[38],"system":[39],"that":[40,143],"supports":[41],"officers":[43],"in":[44,90,113],"decision-making":[47],"tasks.":[48,174],"A":[49],"Mixtral-8\u00d77B":[50],"decoder-only":[51],"architecture":[52],"is":[53],"adapted":[54],"to":[55,71,101,130,181],"domain":[58],"Low-Rank":[60],"Adaptation,":[61],"enabling":[62],"parameter-efficient":[63],"fine-tuning":[64],"while":[65,117],"processing":[66],"long":[67],"inputs":[68],"of":[69,77,92,123,136,150,167,198],"up":[70],"32k":[72],"tokens.":[73],"On":[74],"corpus":[76],"847":[78],"Russian-language":[79],"product":[81],"descriptions,":[82],"produces":[85],"syntactically":[86],"valid":[87],"JSON":[88],"98.1%":[91],"cases,":[93],"reducing":[97],"invalid":[99],"rate":[100],"1.06%.":[102],"Fine-tuning":[103],"LoRA":[105],"on":[106,119,172],"original":[108],"dataset":[109,122],"yields":[110],"validation":[111,128],"losses":[112],"range":[115],"0.015\u20130.025,":[116],"training":[118,138],"augmented":[121],"approximately":[124,168],"106":[125],"records":[126],"reduces":[127],"loss":[129],"below":[131],"0.002,":[132],"at":[133],"cost":[135],"increased":[137],"time.":[139],"Inference":[140],"benchmarks":[141],"show":[142],"MoE":[146],"model,":[147],"activating":[148],"2":[149],"8":[151],"experts":[152],"per":[153],"token,":[154],"achieves":[155],"higher":[156],"scores":[157],"than":[158],"dense":[159],"baselines":[160],"under":[161],"comparable":[162],"inference":[163],"budgets,":[164],"gains":[166],"10\u201315":[169],"percentage":[170],"points":[171],"reasoning-oriented":[173],"The":[175],"results":[176],"also":[177],"identify":[178],"limitations":[179],"related":[180],"semantic":[182],"correctness,":[183],"numeric":[184],"unit":[186],"interpretation,":[187],"routing":[188],"stability,":[189],"uncertainty":[191],"estimation,":[192],"indicating":[193],"directions":[194],"further":[196],"development":[197],"language-model-based":[199],"systems":[200],"regulatory":[202],"decision-support":[204],"applications.":[205]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-29T00:00:00"}
