{"id":"https://openalex.org/W4390962814","doi":"https://doi.org/10.48550/arxiv.2401.08217","title":"LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation","display_name":"LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390962814","doi":"https://doi.org/10.48550/arxiv.2401.08217"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2401.08217","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.08217","pdf_url":"https://arxiv.org/pdf/2401.08217","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.08217","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008967163","display_name":"Zhixuan Chu","orcid":"https://orcid.org/0000-0001-6075-1816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Zhixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322699","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-4751-0708"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100916236","display_name":"Qing Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Qing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430941","display_name":"Longfei Li","orcid":"https://orcid.org/0009-0003-2602-8941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Longfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628705","display_name":"Wenqing Chen","orcid":"https://orcid.org/0000-0002-8739-2216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Wenqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043524348","display_name":"Zhan Qin","orcid":"https://orcid.org/0000-0001-7872-6969"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Zhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000596496","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0003-3441-6277"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Kui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"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/T10028","display_name":"Topic Modeling","score":0.994700014591217,"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/T10028","display_name":"Topic Modeling","score":0.994700014591217,"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":0.9945999979972839,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.7354115843772888},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7143420577049255},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.5432504415512085},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.5302234292030334},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44708049297332764},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44548171758651733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40167200565338135},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3268068730831146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31627732515335083},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20918825268745422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354115843772888},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7143420577049255},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.5432504415512085},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.5302234292030334},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44708049297332764},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44548171758651733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40167200565338135},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3268068730831146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31627732515335083},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20918825268745422},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2401.08217","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.08217","pdf_url":"https://arxiv.org/pdf/2401.08217","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2401.08217","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.08217","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.08217","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.08217","pdf_url":"https://arxiv.org/pdf/2401.08217","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390962814.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W1549403601","https://openalex.org/W2497510784","https://openalex.org/W4252183363","https://openalex.org/W2787177576","https://openalex.org/W2418053903","https://openalex.org/W2078352417","https://openalex.org/W2098758514","https://openalex.org/W1575740715"],"abstract_inverted_index":{"As":[0],"personalized":[1],"recommendation":[2,45,82,123],"systems":[3,83],"become":[4],"vital":[5],"in":[6,122],"the":[7,25,50,59,71,93,136],"age":[8],"of":[9,28,36,53,62,73,95,138],"information":[10],"overload,":[11],"traditional":[12],"methods":[13],"relying":[14],"solely":[15],"on":[16],"historical":[17],"user":[18,37,75],"interactions":[19],"often":[20],"fail":[21],"to":[22,81,105,129],"fully":[23],"capture":[24],"multifaceted":[26],"nature":[27],"human":[29,96,139],"interests.":[30],"To":[31],"enable":[32],"more":[33],"human-centric":[34,100],"modeling":[35],"preferences,":[38],"this":[39],"work":[40],"proposes":[41],"a":[42,127],"novel":[43],"explainable":[44,102],"framework,":[46],"i.e.,":[47],"LLMHG,":[48],"synergizing":[49],"reasoning":[51],"capabilities":[52],"large":[54],"language":[55],"models":[56,109],"(LLMs)":[57],"and":[58,69,101],"structural":[60],"advantages":[61],"hypergraph":[63],"neural":[64],"networks.":[65],"By":[66],"effectively":[67],"profiling":[68],"interpreting":[70],"nuances":[72],"individual":[74],"interests,":[76],"our":[77,99],"framework":[78,118],"pioneers":[79],"enhancements":[80],"with":[84],"increased":[85],"explainability.":[86],"We":[87],"validate":[88],"that":[89],"explicitly":[90],"accounting":[91],"for":[92,133],"intricacies":[94],"preferences":[97],"allows":[98],"LLMHG":[103],"approach":[104],"consistently":[106],"outperform":[107],"conventional":[108],"across":[110,141],"diverse":[111],"real-world":[112],"datasets.":[113],"The":[114],"proposed":[115],"plug-and-play":[116],"enhancement":[117],"delivers":[119],"immediate":[120],"gains":[121],"performance":[124],"while":[125],"offering":[126],"pathway":[128],"apply":[130],"advanced":[131],"LLMs":[132],"better":[134],"capturing":[135],"complexity":[137],"interests":[140],"machine":[142],"learning":[143],"applications.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2024-01-18T00:00:00"}
