{"id":"https://openalex.org/W7171977296","doi":"https://doi.org/10.1145/3770854.3780206","title":"MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback","display_name":"MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7171977296","doi":"https://doi.org/10.1145/3770854.3780206"},"language":null,"primary_location":{"id":"doi:10.1145/3770854.3780206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3780206","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3770854.3780206","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050206751","display_name":"Shihao Cai","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":"Shihao Cai","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0009-6894-364X","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068892996","display_name":"Chongming Gao","orcid":"https://orcid.org/0000-0002-5187-9196"},"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"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongming Gao","raw_affiliation_strings":["Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5187-9196","affiliations":[{"raw_affiliation_string":"Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144119224","display_name":"Haoyan Liu","orcid":"https://orcid.org/0000-0002-3249-2164"},"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"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyan Liu","raw_affiliation_strings":["Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3249-2164","affiliations":[{"raw_affiliation_string":"Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004512962","display_name":"Wentao Shi","orcid":"https://orcid.org/0000-0002-2616-6880"},"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":"Wentao Shi","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2616-6880","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987792","display_name":"Jianshan Sun","orcid":"https://orcid.org/0000-0003-2981-5812"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianshan Sun","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2981-5812","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9224-2431","affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051925942","display_name":"Fuli Feng","orcid":"https://orcid.org/0000-0002-5828-9842"},"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":"Fuli Feng","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5828-9842","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"49","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7342000007629395},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4982999861240387},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.3666999936103821},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.366100013256073},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3601999878883362},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.3456999957561493}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7342000007629395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121000289916992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.508899986743927},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4510999917984009},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C86827895","wikidata":"https://www.wikidata.org/wiki/Q7098582","display_name":"Opportunistic reasoning","level":4,"score":0.31119999289512634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770854.3780206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3780206","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"}],"best_oa_location":{"id":"doi:10.1145/3770854.3780206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3780206","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2783272285","https://openalex.org/W2963367478","https://openalex.org/W4290944002","https://openalex.org/W4367047145","https://openalex.org/W4384625746","https://openalex.org/W4386081001","https://openalex.org/W4393156838","https://openalex.org/W4394994587","https://openalex.org/W4400525124","https://openalex.org/W4400531797","https://openalex.org/W4401834466","https://openalex.org/W4404782432","https://openalex.org/W4407375814","https://openalex.org/W4407953098","https://openalex.org/W4409671424","https://openalex.org/W4412394917","https://openalex.org/W4412396342","https://openalex.org/W4412944995","https://openalex.org/W7133211372"],"related_works":[],"abstract_inverted_index":{"The":[0],"powerful":[1],"reasoning":[2,24,94,148],"and":[3,28,61,119,139],"generative":[4],"capabilities":[5],"of":[6,31,75,135,147],"large":[7],"language":[8,45,160],"models":[9],"(LLMs)":[10],"have":[11,39],"inspired":[12],"researchers":[13],"to":[14,17,57,79,116,121,158],"apply":[15],"them":[16],"reasoning-based":[18,36],"recommendation":[19,37,163],"tasks,":[20],"which":[21,89],"require":[22],"in-depth":[23],"about":[25],"user":[26,59,104,122],"interests":[27,60],"the":[29,44,50,81,85,114,133,144,150,159],"generation":[30],"recommended":[32],"items.":[33,65,99],"However,":[34],"previous":[35],"methods":[38],"typically":[40],"performed":[41],"inference":[42,78],"within":[43,149],"space":[46],"alone,":[47],"without":[48],"incorporating":[49,136],"actual":[51,86,151],"item":[52,87,152],"space.":[53],"This":[54],"has":[55],"led":[56],"over-interpreting":[58],"deviating":[62],"from":[63],"real":[64,98],"Towards":[66],"this":[67],"research":[68],"gap,":[69],"we":[70,101],"propose":[71],"performing":[72],"multiple":[73,137],"rounds":[74],"grounding":[76,111],"during":[77,109],"help":[80],"LLM":[82,115],"better":[83,117],"understand":[84],"space,":[88,153,161],"could":[90],"ensure":[91],"that":[92,106],"its":[93],"remains":[95],"aligned":[96],"with":[97],"Furthermore,":[100],"introduce":[102],"a":[103],"agent":[105],"provides":[107],"feedback":[108],"each":[110],"step,":[112],"enabling":[113],"recognize":[118],"adapt":[120],"interests.":[123],"Comprehensive":[124],"experiments":[125],"conducted":[126],"on":[127],"three":[128],"Amazon":[129],"review":[130],"datasets":[131],"demonstrate":[132],"effectiveness":[134],"groundings":[138],"feedback.":[140],"These":[141],"findings":[142],"underscore":[143],"critical":[145],"importance":[146],"rather":[154],"than":[155],"being":[156],"confined":[157],"for":[162],"tasks.":[164]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-08-01T00:00:00"}
