{"id":"https://openalex.org/W4412376944","doi":"https://doi.org/10.1145/3726302.3730132","title":"RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive Explanations","display_name":"RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive Explanations","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376944","doi":"https://doi.org/10.1145/3726302.3730132"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730132","doi":"https://doi.org/10.1145/3726302.3730132","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730132","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730132","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730132","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050709263","display_name":"Sayantan Polley","orcid":"https://orcid.org/0000-0002-0758-3021","observed_orcids":["https://orcid.org/0000-0002-0758-3021"]},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sayantan Polley","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0758-3021","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118969051","display_name":"Govind Shukla","orcid":"https://orcid.org/0009-0006-2143-8249","observed_orcids":["https://orcid.org/0009-0006-2143-8249"]},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Govind Shukla","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0009-0006-2143-8249","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118969052","display_name":"Pritha Ghosal","orcid":"https://orcid.org/0009-0000-4971-9348","observed_orcids":["https://orcid.org/0009-0000-4971-9348"]},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pritha Ghosal","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0009-0000-4971-9348","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075663234","display_name":"Andreas N\u00fcrnberger","orcid":"https://orcid.org/0000-0003-4311-0624","observed_orcids":["https://orcid.org/0000-0003-4311-0624"]},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas N\u00fcrnberger","raw_affiliation_strings":["Otto-von-Guericke-Universit\u00e4t Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4311-0624","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke-Universit\u00e4t Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":1.1661,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77626148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3954","last_page":"3958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5547000169754028,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5547000169754028,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.4424000084400177,"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":0.0007999999797903001,"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/relevance-feedback","display_name":"relevance feedback","score":0.906000018119812},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.8209999799728394},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"information retrieval","score":0.7509999871253967},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8970000147819519},{"id":"https://openalex.org/keywords/neural-ranking","display_name":"neural ranking","score":0.4390000104904175},{"id":"https://openalex.org/keywords/text-summarization","display_name":"text summarization","score":0.8169999718666077},{"id":"https://openalex.org/keywords/user-feedback","display_name":"user feedback","score":0.5680000185966492},{"id":"https://openalex.org/keywords/user-study","display_name":"user study","score":0.5}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.758700966835022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6445502638816833},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5715216398239136},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3581307530403137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15030309557914734},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.04391565918922424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730132","doi":"https://doi.org/10.1145/3726302.3730132","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730132","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730132","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730132","doi":"https://doi.org/10.1145/3726302.3730132","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730132","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730132","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376944.pdf","grobid_xml":"https://content.openalex.org/works/W4412376944.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1555659003","https://openalex.org/W2035569891","https://openalex.org/W2085129404","https://openalex.org/W2087499664","https://openalex.org/W2781025220","https://openalex.org/W2891482011","https://openalex.org/W2896362077","https://openalex.org/W2910883930","https://openalex.org/W2954307176","https://openalex.org/W2954503794","https://openalex.org/W2984353433","https://openalex.org/W2992923261","https://openalex.org/W3034827743","https://openalex.org/W3045745713","https://openalex.org/W3129910862","https://openalex.org/W3156083768","https://openalex.org/W3201053014","https://openalex.org/W4206655182","https://openalex.org/W4213069590","https://openalex.org/W4226178328","https://openalex.org/W4299527668","https://openalex.org/W4300482433","https://openalex.org/W4306317235","https://openalex.org/W4382202377","https://openalex.org/W4384887310"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W2001985945","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W1971071004","https://openalex.org/W1973132420","https://openalex.org/W2460037195","https://openalex.org/W2142731558","https://openalex.org/W2077213532","https://openalex.org/W2134013435"],"abstract_inverted_index":{"The":[0],"rise":[1],"of":[2,17,33,38,84,151],"Gen-AI":[3],"and":[4,22,45,104,124,158],"LLMs":[5,21],"often":[6],"makes":[7],"it":[8],"difficult":[9],"for":[10],"users":[11],"to":[12,25,60,70,89],"trust":[13],"retrieved":[14],"results.The":[15],"risk":[16],"IR":[18],"systems":[19],"using":[20],"being":[23],"susceptible":[24],"misinformation":[26],"can":[27],"be":[28],"tackled":[29],"under":[30],"the":[31,71,82,86,90,121,149],"lens":[32],"explainability":[34,39,157],"in":[35,40,76,81],"AI.The":[36],"topic":[37],"AI,":[41],"machine":[42],"learning":[43],"(XAI)":[44],"information":[46],"retrieval":[47],"(IR)":[48],"has":[49],"been":[50],"explored":[51],"through":[52],"various":[53],"methods,":[54],"yet":[55],"few":[56],"incorporate":[57],"user":[58,79,114,161],"feedback":[59,74,80],"adapt":[61],"explanations.In":[62],"this":[63],"work,":[64],"we":[65,155],"present":[66],"an":[67],"XAI-driven":[68],"extension":[69],"classic":[72],"relevance":[73],"model":[75,87],"IR,":[77],"incorporating":[78],"process":[83],"explaining":[85],"behavior":[88],"user.Our":[91],"proposed":[92],"model,":[93],"RelEx,":[94],"introduces":[95],"XAI-specific":[96],"elements,":[97],"including":[98],"key":[99],"phrase":[100],"vectors,":[101],"text":[102],"summaries,":[103],"contextual":[105,125],"phrases":[106],"combined":[107],"with":[108,138],"a":[109,129],"neural":[110],"ranker.RelEx":[111],"interactively":[112],"gathers":[113],"feedback,":[115],"adapting":[116],"search":[117],"results":[118],"based":[119],"on":[120,145],"modified":[122],"query":[123],"vectors.We":[126],"further":[127],"introduce":[128],"novel":[130],"additive":[131],"similarity":[132,137],"scheme":[133],"that":[134],"combines":[135],"document":[136],"key-phrase":[139],"overlap.Retrieval":[140],"performance":[141],"is":[142],"empirically":[143],"evaluated":[144],"multiple":[146],"benchmark":[147],"datasets.In":[148],"absence":[150],"ground":[152],"truth":[153],"explanations,":[154],"assess":[156],"assessability":[159],"via":[160],"studies,":[162],"where":[163],"RelEx":[164],"exhibit":[165],"promising":[166],"results.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}