{"id":"https://openalex.org/W4416516285","doi":"https://doi.org/10.1145/3770854.3780286","title":"Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent","display_name":"Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W4416516285","doi":"https://doi.org/10.1145/3770854.3780286"},"language":"en","primary_location":{"id":"doi:10.1145/3770854.3780286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3780286","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3770854.3780286","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113697098","display_name":"Hsi-Chien Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haocheng Yu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0005-6990-4387","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102858602","display_name":"Yaxiong Wu","orcid":"https://orcid.org/0000-0002-1860-0122"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxiong Wu","raw_affiliation_strings":["Huawei Technologies Ltd., Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-1860-0122","affiliations":[{"raw_affiliation_string":"Huawei Technologies Ltd., Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050002532","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-3557-6301"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-9921-2078","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101677998","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0002-5915-3007"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["Huawei Technologies Ltd., Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-8616-0221","affiliations":[{"raw_affiliation_string":"Huawei Technologies Ltd., Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119272033","display_name":"Yong Liu","orcid":"https://orcid.org/0009-0007-7205-2909"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Huawei Technologies Ltd., Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-9031-9696","affiliations":[{"raw_affiliation_string":"Huawei Technologies Ltd., Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633549","display_name":"Yawen Li","orcid":"https://orcid.org/0000-0002-6556-2560"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2662-3444","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059668989","display_name":"Yuyang Ye","orcid":"https://orcid.org/0000-0002-1513-7814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuyang Ye","raw_affiliation_strings":["ByteDance Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1513-7814","affiliations":[{"raw_affiliation_string":"ByteDance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102058365","display_name":"Junping Du","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Du","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8590-3767","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-4835-4102","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01423158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1821","last_page":"1832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.3553999960422516,"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":0.3553999960422516,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.18119999766349792,"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/T10028","display_name":"Topic Modeling","score":0.08730000257492065,"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":0.6679999828338623},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6550999879837036},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5526999831199646},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5286999940872192},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.430400013923645},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.3853999972343445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108000159263611},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6679999828338623},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6550999879837036},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5526999831199646},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5286999940872192},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.498199999332428},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.37700000405311584},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C3017568202","wikidata":"https://www.wikidata.org/wiki/Q2899888","display_name":"User needs","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.335999995470047},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33559998869895935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3770854.3780286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3780286","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.23485","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.23485","pdf_url":"https://arxiv.org/pdf/2506.23485","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.23485","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.23485","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3770854.3780286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3780286","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Interactive":[0,85],"recommendation":[1,114],"is":[2,101],"a":[3,29,82,109,133,190],"typical":[4],"information-seeking":[5],"task":[6],"that":[7,90,112,136],"allows":[8],"users":[9],"to":[10,46,60,161,176],"interactively":[11],"express":[12],"their":[13],"needs":[14,39,119],"through":[15,95,128],"natural":[16],"language":[17,23],"and":[18,40,49,64,120,143],"obtain":[19],"personalized":[20,42],"recommendations.":[21],"Large":[22],"model-powered":[24],"(LLM-powered)":[25],"agents":[26,58],"have":[27],"become":[28],"new":[30],"paradigm":[31],"in":[32,197],"interactive":[33,56],"recommendations,":[34],"effectively":[35,61,182],"capturing":[36],"users'":[37],"real-time":[38],"enhancing":[41],"experiences.":[43,146],"However,":[44],"due":[45],"limited":[47],"planning":[48,121,125],"generalization":[50],"capabilities,":[51],"existing":[52,162],"formulations":[53],"of":[54],"LLM-powered":[55,105],"recommender":[57],"struggle":[59],"address":[62],"diverse":[63],"complex":[65,92,178,198],"user":[66,93,118,199],"intents,":[67],"such":[68],"as":[69,103,189],"intuitive,":[70],"unrefined,":[71],"or":[72],"occasionally":[73],"ambiguous":[74],"requests.":[75],"To":[76],"tackle":[77],"this":[78],"challenge,":[79],"we":[80],"propose":[81],"novel":[83,184],"ThoughtAugmented":[84],"Recommender":[86],"Agent":[87],"system":[88,107,172],"(TAIRA)":[89],"addresses":[91],"intents":[94],"distilled":[96],"thought":[97,166],"patterns.":[98],"Specifically,":[99],"TAIRA":[100,155],"designed":[102,153],"an":[104],"multi-agent":[106],"featuring":[108],"manager":[110],"agent":[111,171,194],"orchestrates":[113],"tasks":[115,179],"by":[116],"decomposing":[117],"subtasks,":[122],"with":[123,173],"its":[124,187],"capacity":[126],"strengthened":[127],"Thought":[129],"Pattern":[130],"Distillation":[131],"(TPD),":[132],"thought-augmentation":[134],"method":[135],"extracts":[137],"high-level":[138],"thoughts":[139],"from":[140],"the":[141,170,174],"agent's":[142],"human":[144],"experts'":[145],"Through":[147],"comprehensive":[148],"experiments":[149],"conducted":[150],"across":[151],"multiple":[152],"datasets,":[154],"exhibits":[156],"significantly":[157],"enhanced":[158],"performance":[159],"compared":[160],"methods.":[163],"Notably,":[164],"TAIRA's":[165],"augmentation":[167],"strategies":[168],"endow":[169],"ability":[175],"solve":[177],"while":[180],"generalizing":[181],"on":[183],"tasks,":[185],"validating":[186],"potential":[188],"foundational":[191],"framework":[192],"for":[193],"systems,":[195],"particularly":[196],"intent":[200],"scenarios.":[201]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}