{"id":"https://openalex.org/W4416250468","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228620","title":"LDLBPA:LLM-Driven Latent Behavior Patterns Augmentation for ID-based Recommendation","display_name":"LDLBPA:LLM-Driven Latent Behavior Patterns Augmentation for ID-based Recommendation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250468","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228620"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5101669635","display_name":"Yu Bai","orcid":"https://orcid.org/0000-0002-4100-8223"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Bai","raw_affiliation_strings":["Shenyang Aerospace University,School of Computer Science,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University,School of Computer Science,Shenyang,China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054617814","display_name":"Yuanlai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlai Wang","raw_affiliation_strings":["Shenyang Aerospace University,School of Computer Science,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University,School of Computer Science,Shenyang,China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000346235","display_name":"Huang Jian","orcid":"https://orcid.org/0000-0001-8742-4989"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Huang","raw_affiliation_strings":["Suzhou Mandarin Huantu Intelligent Technology Co., Ltd,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Suzhou Mandarin Huantu Intelligent Technology Co., Ltd,Suzhou,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112114191","display_name":"Shuang Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]},{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Xue","raw_affiliation_strings":["Shenyang Aerospace University,School of Foreign Languages,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University,School of Foreign Languages,Shenyang,China","institution_ids":["https://openalex.org/I125904092","https://openalex.org/I42852656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101299571","display_name":"Jinfu Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinfu Yuan","raw_affiliation_strings":["Shenyang Northern Software College of Information Technology,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Shenyang Northern Software College of Information Technology,Shenyang,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101669635"],"corresponding_institution_ids":["https://openalex.org/I125904092"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49447279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9452999830245972,"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":0.9452999830245972,"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/T10028","display_name":"Topic Modeling","score":0.007600000128149986,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.007000000216066837,"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/semantics","display_name":"Semantics (computer science)","score":0.6646000146865845},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5264000296592712},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47749999165534973},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.39730000495910645},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.39089998602867126},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.34529998898506165},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.33899998664855957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660999894142151},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6646000146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612000226974487},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5264000296592712},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47749999165534973},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4221000075340271},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33899998664855957},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2140310134","https://openalex.org/W2945827670","https://openalex.org/W3004507689","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W4321479942","https://openalex.org/W4381786098","https://openalex.org/W4384648324","https://openalex.org/W4384659456","https://openalex.org/W4384887418","https://openalex.org/W4385567607","https://openalex.org/W4386730589","https://openalex.org/W4392367398","https://openalex.org/W4392384703","https://openalex.org/W4394994587","https://openalex.org/W4395022722","https://openalex.org/W4404304342"],"related_works":[],"abstract_inverted_index":{"ID-based":[0,18],"recommendation":[1],"is":[2],"a":[3,21],"classic":[4],"task":[5],"that":[6,105,132],"leverages":[7],"unique":[8],"user":[9],"and":[10,66,121,154],"item":[11],"identifiers":[12],"to":[13,70,119,127,163],"generate":[14,71],"recommendations.":[15],"However,":[16],"existing":[17,33],"methods":[19],"face":[20],"critical":[22],"limitation:":[23],"the":[24,37,87,106,133,138],"absence":[25],"of":[26,39,80,140,148],"semantic":[27,51,81],"information":[28,82],"in":[29,43,53],"symbolic":[30],"identifiers.":[31],"Unlike":[32],"approaches,":[34],"we":[35,56],"hypothesize":[36],"existence":[38],"latent":[40,92,145],"behavior":[41,93,146],"patterns":[42,94,147],"user-item":[44,149],"interactions":[45,150],"across":[46,95,100,151],"different":[47,96],"domains.":[48,97,165],"To":[49],"address":[50],"deficiencies":[52],"ID":[54],"symbols,":[55],"employs":[57],"large":[58],"language":[59],"models":[60],"(LLMs)":[61],"with":[62,113],"extensive":[63],"knowledge":[64],"bases":[65],"robust":[67],"reasoning":[68],"capabilities":[69],"high-quality,":[72],"low-noise":[73],"auxiliary":[74,84,161],"domain":[75,89],"data.":[76],"We":[77],"achieve":[78],"fusion":[79],"from":[83,117,125,160],"domains":[85,153,162],"into":[86],"target":[88,164],"by":[90],"leveraging":[91],"Experimental":[98],"results":[99,130],"ten":[101],"public":[102],"datasets":[103],"show":[104],"proposed":[107,134],"model":[108,135],"outperforms":[109],"state-of-the-art":[110],"(SOTA)":[111],"models,":[112],"Recall@20":[114],"improvements":[115,123],"ranging":[116,124],"3.72%":[118],"30.87%":[120],"NDCG@20":[122],"1.74%":[126],"31.80%.":[128],"These":[129],"indicate":[131],"can":[136],"extract":[137],"semantics":[139,159],"interaction":[141,158],"behaviors":[142],"based":[143],"on":[144],"distinct":[152],"effectively":[155],"transfer":[156],"these":[157]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
