{"id":"https://openalex.org/W7168398490","doi":"https://doi.org/10.1145/3805712.3809932","title":"Exploring and Improving Cross- and Multi-Domain Personalized Question Answering via a Dual Retrieval Augmentation Approach","display_name":"Exploring and Improving Cross- and Multi-Domain Personalized Question Answering via a Dual Retrieval Augmentation Approach","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7168398490","doi":"https://doi.org/10.1145/3805712.3809932"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3809932","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809932","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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3809932","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140883574","display_name":"Ozel Yilmazel","orcid":"https://orcid.org/0009-0000-4220-0674"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ozel Yilmazel","raw_affiliation_strings":["Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA"],"raw_orcid":"https://orcid.org/0009-0000-4220-0674","affiliations":[{"raw_affiliation_string":"Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140870383","display_name":"Hamed Zamani","orcid":"https://orcid.org/0000-0002-0800-3340"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Zamani","raw_affiliation_strings":["Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0800-3340","affiliations":[{"raw_affiliation_string":"Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140777898","display_name":"James Allan","orcid":"https://orcid.org/0000-0003-0132-5694"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Allan","raw_affiliation_strings":["Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0132-5694","affiliations":[{"raw_affiliation_string":"Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"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":"4316","last_page":"4321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7954000234603882},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5307000279426575},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.2651999890804291},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2563000023365021},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.2542000114917755}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7954000234603882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6834999918937683},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5307000279426575},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4300000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41659998893737793},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37549999356269836},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3809932","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809932","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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3809932","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809932","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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2076006872","https://openalex.org/W4389519598","https://openalex.org/W4396723585","https://openalex.org/W4396844090","https://openalex.org/W4400525546","https://openalex.org/W4402671806","https://openalex.org/W4412888106","https://openalex.org/W4412945169","https://openalex.org/W4416037107"],"related_works":[],"abstract_inverted_index":{"Personalized":[0],"long-form":[1],"question":[2,112,180],"answering":[3],"aims":[4],"to":[5,70,127,158],"tailor":[6],"responses":[7],"based":[8],"on":[9],"a":[10,140,151],"user's":[11],"historical":[12],"data,":[13],"which":[14],"often":[15,36,125],"spans":[16],"diverse":[17,55],"information":[18,39],"domains.":[19,42],"While":[20],"prior":[21],"work":[22],"typically":[23],"assumes":[24],"user":[25,52,78,148],"profiles":[26,34,53,91,98,109],"are":[27,35],"domain-aligned":[28],"with":[29],"the":[30,48,77,103,111,147],"users'":[31],"questions,":[32],"real-world":[33],"diverse,":[37],"containing":[38],"across":[40,170],"multiple":[41,100],"In":[43],"this":[44,133],"work,":[45],"we":[46,135],"use":[47],"LaMP-QA":[49],"benchmark,":[50],"where":[51,90,97,108],"span":[54,99],"Stack":[56],"Exchange":[57],"domains":[58,101],"(Arts":[59],"&":[60,63,68],"Entertainment,":[61],"Lifestyle":[62],"Personal":[64],"Development,":[65],"and":[66,106,150,162],"Society":[67],"Culture),":[69],"systematically":[71],"investigate":[72],"how":[73],"domain":[74],"composition":[75,87],"of":[76],"profile":[79,86,149,173],"affects":[80],"personalization":[81,119,160],"performance.":[82],"We":[83,154],"examine":[84],"three":[85,172],"settings:":[88],"Cross-Domain,":[89],"contain":[92],"only":[93],"out-of-domain":[94],"information;":[95],"Multi-Domain,":[96],"including":[102],"question's":[104],"domain;":[105],"In-Domain,":[107],"match":[110],"domain.":[113],"Our":[114],"analysis":[115],"reveals":[116],"that":[117,142,164],"state-of-the-art":[118,168],"methods":[120,169],"struggle":[121],"in":[122],"Cross-Domain":[123],"settings,":[124,174],"failing":[126],"outperform":[128],"non-personalized":[129],"baselines.":[130],"To":[131],"address":[132],"challenge,":[134],"introduce":[136],"Dual":[137],"Retrieval":[138],"Augmentation,":[139],"framework":[141,157],"jointly":[143],"retrieves":[144],"from":[145],"both":[146],"public":[152],"corpus.":[153],"apply":[155],"our":[156],"existing":[159],"approaches":[161],"demonstrate":[163],"it":[165],"consistently":[166],"outperforms":[167],"all":[171],"validating":[175],"its":[176],"robustness":[177],"for":[178],"personalized":[179],"answering.":[181]},"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-07-16T00:00:00"}