{"id":"https://openalex.org/W4400524927","doi":"https://doi.org/10.1145/3626772.3657780","title":"Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations","display_name":"Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400524927","doi":"https://doi.org/10.1145/3626772.3657780"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657780","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th 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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100382364","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0003-4213-4827"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4213-4827","affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009228302","display_name":"Daichi Amagata","orcid":"https://orcid.org/0000-0001-8571-4931"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daichi Amagata","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8571-4931","affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081101711","display_name":"Yihong Zhang","orcid":"https://orcid.org/0000-0002-4758-9911"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yihong Zhang","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4758-9911","affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4807-3156","affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038823315","display_name":"Shuichiro Haruta","orcid":"https://orcid.org/0000-0002-0695-9963"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuichiro Haruta","raw_affiliation_strings":["KDDI Research, Inc., Fujimino, Saitama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0695-9963","affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Fujimino, Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040855466","display_name":"Kei Yonekawa","orcid":"https://orcid.org/0000-0002-4349-8895"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Yonekawa","raw_affiliation_strings":["KDDI Research, Inc., Fujimino, Saitama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4349-8895","affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Fujimino, Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061479875","display_name":"Mori Kurokawa","orcid":"https://orcid.org/0000-0003-4544-0643"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mori Kurokawa","raw_affiliation_strings":["KDDI Research, Inc., Fujimino, Saitama, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4544-0643","affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Fujimino, Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1795,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94993316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2124","last_page":"2133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9883999824523926,"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/T11478","display_name":"Caching and Content Delivery","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6645171046257019},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6271917819976807},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5870643854141235},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5646888613700867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3985769748687744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14112144708633423},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10397905111312866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645171046257019},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6271917819976807},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5870643854141235},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5646888613700867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3985769748687744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14112144708633423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10397905111312866},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657780","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7900000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2740450220","https://openalex.org/W2946687519","https://openalex.org/W2963602998","https://openalex.org/W2964995401","https://openalex.org/W2987679642","https://openalex.org/W2996891863","https://openalex.org/W3012748801","https://openalex.org/W3026319246","https://openalex.org/W3028201915","https://openalex.org/W3035060230","https://openalex.org/W3035598449","https://openalex.org/W3035637689","https://openalex.org/W3036928441","https://openalex.org/W3045200674","https://openalex.org/W3080236009","https://openalex.org/W3102099102","https://openalex.org/W3103897518","https://openalex.org/W3188301284","https://openalex.org/W3190386329","https://openalex.org/W3199672123","https://openalex.org/W3209185641","https://openalex.org/W3209610025","https://openalex.org/W3215053434","https://openalex.org/W4205340696","https://openalex.org/W4214785886","https://openalex.org/W4280611174","https://openalex.org/W4284675209","https://openalex.org/W4284679479","https://openalex.org/W4288083766","https://openalex.org/W4292722335","https://openalex.org/W4294433594","https://openalex.org/W4296591811","https://openalex.org/W4297969478","https://openalex.org/W4306317751","https://openalex.org/W4309869671","https://openalex.org/W4318186115","https://openalex.org/W4321480025","https://openalex.org/W4327590745","https://openalex.org/W4367046880","https://openalex.org/W4367047393","https://openalex.org/W4378419458","https://openalex.org/W4384661158","https://openalex.org/W4384887418","https://openalex.org/W4391549772","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2000517284","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Building":[0],"high-quality":[1],"recommender":[2],"systems":[3],"is":[4],"challenging":[5],"for":[6,130],"new":[7],"services":[8],"and":[9,43,57,71,95,108,124,146,164,179,205,211],"small":[10],"companies,":[11],"because":[12],"of":[13,74,198,202],"their":[14,65],"sparse":[15],"interactions.":[16],"Cross-domain":[17],"recommendations":[18,129],"(CDRs)":[19],"alleviate":[20],"this":[21],"issue":[22],"by":[23],"transferring":[24,125],"knowledge":[25,136],"from":[26,37,137],"data":[27,36],"in":[28,176,200],"external":[29,41],"domains.":[30,47,98,132],"However,":[31],"most":[32],"existing":[33],"CDRs":[34,48,88],"leverage":[35],"only":[38,45],"a":[39,82,117,170],"single":[40],"domain":[42],"serve":[44,96],"two":[46,157,192],"serving":[49],"multiple":[50,97,138],"domains":[51,139,178],"require":[52,91,101],"domain-shared":[53,93,102,145,151,163,174],"entities":[54,94],"(i.e.,":[55],"users":[56,103],"items)":[58],"to":[59,68,104,127,161,185],"transfer":[60],"knowledge,":[61],"which":[62,90],"significantly":[63],"limits":[64],"applications":[66],"due":[67],"the":[69,196],"hardness":[70],"privacy":[72],"concerns":[73],"finding":[75],"such":[76],"entities.":[77],"We":[78,113],"therefore":[79],"focus":[80],"on":[81,111,191],"more":[83],"general":[84],"scenario,":[85],"non-overlapped":[86,212],"multi-target":[87],"(NO-MTCDRs),":[89],"no":[92],"Existing":[99],"methods":[100],"learn":[105],"user":[106],"preferences":[107,148,175,184],"cannot":[109],"work":[110],"NO-MTCDRs.":[112],"hence":[114],"propose":[115],"MITrans,":[116,154],"novel":[118,158],"mutual":[119],"information-based":[120],"(MI-based)":[121],"preference":[122],"disentangling":[123],"framework":[126],"improve":[128,186],"all":[131],"MITrans":[133,199],"effectively":[134],"leverages":[135],"as":[140,142],"well":[141],"learning":[143],"both":[144],"domain-specific":[147,165,183],"without":[149],"using":[150],"users.":[152],"In":[153],"we":[155,168],"devise":[156],"MI":[159],"constraints":[160],"disentangle":[162],"preferences.":[166],"Moreover,":[167],"introduce":[169],"module":[171],"that":[172],"fuses":[173],"different":[177],"combines":[180],"them":[181],"with":[182],"recommendations.":[187],"Our":[188],"experimental":[189],"results":[190],"real-world":[193],"datasets":[194],"demonstrate":[195],"superiority":[197],"terms":[201],"recommendation":[203],"quality":[204],"application":[206],"range":[207],"against":[208],"state-of-the-art":[209],"overlapped":[210],"CDRs.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}