{"id":"https://openalex.org/W4294433594","doi":"https://doi.org/10.1145/3511808.3557434","title":"Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation","display_name":"Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4294433594","doi":"https://doi.org/10.1145/3511808.3557434"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557434","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2110.12648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101894822","display_name":"Yoonhyuk Choi","orcid":"https://orcid.org/0000-0003-4359-5596"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yoonhyuk Choi","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078811724","display_name":"Jiho Choi","orcid":"https://orcid.org/0000-0002-3930-3477"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiho Choi","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079020226","display_name":"Taewook Ko","orcid":"https://orcid.org/0000-0001-7248-4751"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewook Ko","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049696849","display_name":"Hyungho Byun","orcid":"https://orcid.org/0000-0003-1908-637X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyungho Byun","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015798913","display_name":"Chong-kwon Kim","orcid":"https://orcid.org/0000-0002-9492-6546"},"institutions":[{"id":"https://openalex.org/I4210127102","display_name":"Korea Institute of Energy Research","ror":"https://ror.org/0298pes53","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210127102","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chong-Kwon Kim","raw_affiliation_strings":["Korea Institute of Energy Technology, Naju, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Energy Technology, Naju, South Korea","institution_ids":["https://openalex.org/I4210127102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101894822"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.8848,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87915408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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":0.9958999752998352,"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":0.8246126174926758},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7387603521347046},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7029706835746765},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6776833534240723},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6422878503799438},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5900185704231262},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5847916007041931},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5071940422058105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4375458359718323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37356510758399963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.327151894569397},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16956132650375366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8246126174926758},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7387603521347046},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7029706835746765},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6776833534240723},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6422878503799438},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5900185704231262},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5847916007041931},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5071940422058105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4375458359718323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37356510758399963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.327151894569397},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16956132650375366},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3511808.3557434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557434","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2110.12648","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.12648","pdf_url":"https://arxiv.org/pdf/2110.12648","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2110.12648","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.12648","pdf_url":"https://arxiv.org/pdf/2110.12648","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W39762900","https://openalex.org/W1638081485","https://openalex.org/W1731081199","https://openalex.org/W2061873838","https://openalex.org/W2091134111","https://openalex.org/W2104094955","https://openalex.org/W2114079787","https://openalex.org/W2137245235","https://openalex.org/W2250539671","https://openalex.org/W2573167395","https://openalex.org/W2575006718","https://openalex.org/W2580175752","https://openalex.org/W2605350416","https://openalex.org/W2606749808","https://openalex.org/W2739992143","https://openalex.org/W2740605635","https://openalex.org/W2749348810","https://openalex.org/W2786995169","https://openalex.org/W2788376297","https://openalex.org/W2788663865","https://openalex.org/W2796608345","https://openalex.org/W2803439868","https://openalex.org/W2803832867","https://openalex.org/W2904156528","https://openalex.org/W2904685322","https://openalex.org/W2940579548","https://openalex.org/W2946812986","https://openalex.org/W2949553967","https://openalex.org/W2953127297","https://openalex.org/W2962763064","https://openalex.org/W2963532621","https://openalex.org/W2964961855","https://openalex.org/W2964995401","https://openalex.org/W2966145398","https://openalex.org/W2971339032","https://openalex.org/W2979563851","https://openalex.org/W2986381065","https://openalex.org/W2987219395","https://openalex.org/W2996891863","https://openalex.org/W2997892038","https://openalex.org/W2998115938","https://openalex.org/W3018638193","https://openalex.org/W3026230850","https://openalex.org/W3026319246","https://openalex.org/W3028156525","https://openalex.org/W3034303964","https://openalex.org/W3034423547","https://openalex.org/W3034896171","https://openalex.org/W3036171739","https://openalex.org/W3080236009","https://openalex.org/W3098400049","https://openalex.org/W3100921056","https://openalex.org/W3101830194","https://openalex.org/W3101887415","https://openalex.org/W3103897518","https://openalex.org/W3104406051","https://openalex.org/W3124621336","https://openalex.org/W3129514843","https://openalex.org/W3142993332","https://openalex.org/W3152972811","https://openalex.org/W3155928855","https://openalex.org/W3159519707","https://openalex.org/W3168239556","https://openalex.org/W3187977559","https://openalex.org/W3188301284","https://openalex.org/W3190654993","https://openalex.org/W3200686557","https://openalex.org/W3209458448","https://openalex.org/W3210341087","https://openalex.org/W3210782630","https://openalex.org/W4225109328","https://openalex.org/W4288334180","https://openalex.org/W4289294839","https://openalex.org/W4289421997","https://openalex.org/W4294170691","https://openalex.org/W4306809385"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2057775761","https://openalex.org/W1608433645","https://openalex.org/W2964074194"],"abstract_inverted_index":{"A":[0],"cross-domain":[1,142],"recommendation":[2,143],"has":[3,113],"shown":[4],"promising":[5],"results":[6],"in":[7],"solving":[8],"data-sparsity":[9],"and":[10,31,91,124,134,141],"cold-start":[11],"problems.":[12],"Despite":[13],"such":[14,38],"progress,":[15],"existing":[16],"methods":[17],"focus":[18],"on":[19],"domain-shareable":[20],"information":[21,95],"(overlapped":[22],"users":[23],"or":[24],"same":[25],"contexts)":[26],"for":[27,72,118],"a":[28,68,79,97,107],"knowledge":[29],"transfer,":[30],"they":[32],"fail":[33],"to":[34,53,109,115,137],"generalize":[35],"well":[36],"without":[37],"requirements.":[39],"To":[40],"deal":[41],"with":[42],"these":[43],"problems,":[44],"we":[45,77,101],"suggest":[46,78],"utilizing":[47],"review":[48],"texts":[49],"that":[50,83,128],"are":[51],"general":[52],"most":[54],"e-commerce":[55],"systems.":[56,121],"Our":[57],"model":[58],"(named":[59],"SER)":[60],"uses":[61],"three":[62],"text":[63],"analysis":[64],"modules,":[65],"guided":[66],"by":[67],"single":[69,108,140],"domain":[70,89],"discriminator":[71],"disentangled":[73],"representation":[74],"learning.":[75],"Here,":[76],"novel":[80],"optimization":[81],"strategy":[82],"can":[84],"enhance":[85],"the":[86,103,138],"quality":[87],"of":[88,96],"disentanglement,":[90],"also":[92],"debilitates":[93],"detrimental":[94],"source":[98],"domain.":[99],"Also,":[100],"extend":[102],"encoding":[104],"network":[105],"from":[106],"multiple":[110],"domains,":[111],"which":[112],"proven":[114],"be":[116],"powerful":[117],"review-based":[119],"recommender":[120],"Extensive":[122],"experiments":[123],"ablation":[125],"studies":[126],"demonstrate":[127],"our":[129],"method":[130],"is":[131],"efficient,":[132],"robust,":[133],"scalable":[135],"compared":[136],"state-of-the-art":[139],"methods.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-09-03T00:00:00"}
