{"id":"https://openalex.org/W7155568414","doi":"https://doi.org/10.48550/arxiv.2604.20848","title":"MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations","display_name":"MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7155568414","doi":"https://doi.org/10.48550/arxiv.2604.20848"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20848","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20848","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134542272","display_name":"Sushant Mehta","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mehta, Sushant","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5134542272"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.6498000025749207,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.6498000025749207,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.13910000026226044,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.04010000079870224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6636000275611877},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5246000289916992},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5019000172615051},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4415999948978424},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4269999861717224},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.40119999647140503},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3991999924182892},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.36719998717308044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928000092506409},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6636000275611877},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5246000289916992},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5019000172615051},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3790000081062317},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35269999504089355},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34389999508857727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34290000796318054},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3249000012874603},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.32269999384880066},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.32019999623298645},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2678000032901764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20848","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.20848","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Model":[2],"(LLM)-based":[3],"recommendation":[4,139,177],"systems":[5,178],"have":[6],"demonstrated":[7],"remarkable":[8],"capabilities":[9],"in":[10,24,105,187],"understanding":[11],"user":[12,37],"preferences":[13],"and":[14,28,92,95,119,130,145,164,179],"generating":[15],"personalized":[16],"suggestions.":[17],"However,":[18],"existing":[19],"approaches":[20],"face":[21],"critical":[22],"challenges":[23],"transparency,":[25],"knowledge":[26,54,84],"grounding,":[27],"the":[29],"ability":[30],"to":[31,57],"provide":[32],"coherent":[33],"explanations":[34,159],"that":[35,49,70,79,89,99,115,133,155],"foster":[36],"trust.":[38],"We":[39],"introduce":[40],"MATRAG":[41,61,134],"(Multi-Agent":[42],"Transparent":[43],"Retrieval-Augmented":[44],"Generation),":[45],"a":[46,66,86,111],"novel":[47],"framework":[48,109],"combined":[50],"multi-agent":[51],"collaboration":[52],"with":[53],"graph-augmented":[55],"retrieval":[56],"deliver":[58],"explainable":[59],"recommendations.":[60],"employs":[62],"four":[63],"specialized":[64],"agents:":[65],"User":[67],"Modeling":[68],"Agent":[69,78,88,98],"constructs":[71],"dynamic":[72],"preference":[73],"profiles,":[74],"an":[75,96],"Item":[76],"Analysis":[77],"extracts":[80],"semantic":[81],"features":[82],"from":[83],"graphs,":[85],"Reasoning":[87],"synthesizes":[90],"collaborative":[91],"content-based":[93],"signals,":[94],"Explanation":[97],"generates":[100],"natural":[101],"language":[102],"justifications":[103],"grounded":[104],"retrieved":[106],"knowledge.":[107],"Our":[108,169],"incorporates":[110],"transparency":[112],"scoring":[113],"mechanism":[114],"quantifies":[116],"explanation":[117],"faithfulness":[118],"relevance.":[120],"Extensive":[121],"experiments":[122],"on":[123],"three":[124],"benchmark":[125],"datasets":[126],"(Amazon":[127],"Reviews,":[128],"MovieLens-1M,":[129],"Yelp)":[131],"demonstrate":[132],"achieves":[135],"state-of-the-art":[136],"performance,":[137],"improving":[138],"accuracy":[140],"by":[141,166],"12.7\\%":[142],"(Hit":[143],"Rate)":[144],"15.3\\%":[146],"(NDCG)":[147],"over":[148],"leading":[149],"baselines,":[150],"while":[151],"human":[152],"evaluation":[153],"confirms":[154],"87.4\\%":[156],"of":[157],"generated":[158],"are":[160],"rated":[161],"as":[162],"helpful":[163],"trustworthy":[165],"domain":[167],"experts.":[168],"work":[170],"establishes":[171],"new":[172],"benchmarks":[173],"for":[174,183],"transparent,":[175],"agentic":[176],"provides":[180],"actionable":[181],"insights":[182],"deploying":[184],"LLM-based":[185],"recommenders":[186],"production":[188],"environments.":[189]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-25T00:00:00"}