{"id":"https://openalex.org/W4384660945","doi":"https://doi.org/10.1145/3539618.3592037","title":"PersonalTM: Transformer Memory for Personalized Retrieval","display_name":"PersonalTM: Transformer Memory for Personalized Retrieval","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384660945","doi":"https://doi.org/10.1145/3539618.3592037"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3592037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3592037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059256506","display_name":"Ruixue Lian","orcid":"https://orcid.org/0000-0002-3919-3204"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruixue Lian","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070687408","display_name":"Sixing Lu","orcid":"https://orcid.org/0000-0002-6514-4844"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sixing Lu","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112962077","display_name":"Clint Solomon","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clint Solomon","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101479796","display_name":"Gustavo Aguilar","orcid":"https://orcid.org/0000-0002-3028-7626"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gustavo Aguilar","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014477939","display_name":"Pragaash Ponnusamy","orcid":"https://orcid.org/0000-0002-3790-5757"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pragaash Ponnusamy","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061279074","display_name":"Jialong Han","orcid":"https://orcid.org/0000-0001-5285-9210"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialong Han","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102725787","display_name":"Chengyuan Ma","orcid":"https://orcid.org/0000-0001-5126-5883"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengyuan Ma","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047766916","display_name":"Chenlei Guo","orcid":"https://orcid.org/0009-0006-0502-947X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenlei Guo","raw_affiliation_strings":["Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5059256506"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.1204,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3946281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2256","last_page":"2260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9965000152587891,"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":0.8675339221954346},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6120483875274658},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5460484027862549},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.493536114692688},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4766812324523926},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46335887908935547},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4580153524875641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3788088858127594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37307605147361755},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23049426078796387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8675339221954346},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6120483875274658},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5460484027862549},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.493536114692688},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4766812324523926},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46335887908935547},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4580153524875641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3788088858127594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37307605147361755},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23049426078796387},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3592037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3592037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2135500808","https://openalex.org/W2168717408","https://openalex.org/W2610935556","https://openalex.org/W2897050313","https://openalex.org/W2944145673","https://openalex.org/W2979826702","https://openalex.org/W2981852735","https://openalex.org/W3034751553","https://openalex.org/W3034969702","https://openalex.org/W3152943193","https://openalex.org/W3190492058","https://openalex.org/W3190590916","https://openalex.org/W4206390054","https://openalex.org/W4221103197","https://openalex.org/W4221151706","https://openalex.org/W4224313506","https://openalex.org/W4288089799","https://openalex.org/W4312805142"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3024364549","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W4206019083","https://openalex.org/W1976265003","https://openalex.org/W2366230879","https://openalex.org/W4381058564","https://openalex.org/W2964413124"],"abstract_inverted_index":{"The":[0,33,53],"Transformer":[1,71],"Memory":[2,72],"as":[3,12],"a":[4,13,69],"Differentiable":[5],"Search":[6],"Index":[7],"(DSI)":[8],"has":[9],"been":[10],"proposed":[11],"new":[14],"information":[15],"retrieval":[16,26,64],"paradigm,":[17],"which":[18],"aims":[19],"to":[20,96,112,124,168],"address":[21],"the":[22,30,93,99,114,125,133],"limitations":[23],"of":[24,56,102,145],"dual-encoder":[25],"framework":[27,35,58],"based":[28],"on":[29,49],"similarity":[31],"score.":[32],"DSI":[34,57,134],"outperforms":[36,132],"strong":[37],"baselines":[38],"by":[39,162],"directly":[40],"generating":[41],"relevant":[42],"document":[43,103],"identifiers":[44],"from":[45],"queries":[46],"without":[47],"relying":[48],"an":[50,109],"explicit":[51],"index.":[52],"memorization":[54],"power":[55],"makes":[59],"it":[60],"suitable":[61],"for":[62,75,116],"personalized":[63,76,141],"tasks.":[65],"Therefore,":[66],"we":[67],"propose":[68],"Personal":[70],"(PersonalTM)":[73],"architecture":[74,111],"text":[77],"retrieval.":[78],"PersonalTM":[79,106,131,159],"incorporates":[80],"user-specific":[81],"profiles":[82],"and":[83,88,119,139,150,153,165,171],"contextual":[84],"user":[85],"click":[86],"behaviors,":[87],"introduces":[89],"hierarchical":[90,100],"loss":[91],"in":[92,143],"decoding":[94],"process":[95],"align":[97],"with":[98],"assignment":[101],"identifier.":[104],"Additionally,":[105],"also":[107],"employs":[108],"adapter":[110],"improve":[113],"scalability":[115],"index":[117],"updates":[118],"reduce":[120],"computation":[121],"costs,":[122],"compared":[123,167],"vanilla":[126],"DSI.":[127],"Experiments":[128],"show":[129],"that":[130],"baseline,":[135],"BM25,":[136,169],"fine-tuned":[137],"dual-encoder,":[138],"other":[140],"models":[142],"terms":[144],"precision":[146],"at":[147],"top":[148],"1st":[149],"10th":[151],"positions":[152],"Mean":[154],"Reciprocal":[155],"Rank":[156],"(MRR).":[157],"Specifically,":[158],"improves":[160],"p@1":[161],"58%,":[163],"49%,":[164],"12%":[166],"Dual-encoder,":[170],"DSI,":[172],"respectively.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
