{"id":"https://openalex.org/W4412876844","doi":"https://doi.org/10.1145/3711896.3737043","title":"Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation","display_name":"Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412876844","doi":"https://doi.org/10.1145/3711896.3737043"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737043","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737043","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737043","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737043","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100666914","display_name":"Yi Wen","orcid":"https://orcid.org/0000-0002-5924-1429"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yi Wen","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5924-1429","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320103","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-9894-0062"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-9894-0062","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081695896","display_name":"Derong Xu","orcid":"https://orcid.org/0000-0002-3971-9907"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Derong Xu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3971-9907","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062080590","display_name":"Huishi Luo","orcid":"https://orcid.org/0000-0002-3553-2280"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huishi Luo","raw_affiliation_strings":["Institute of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3553-2280","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094239331","display_name":"Pengyue Jia","orcid":"https://orcid.org/0000-0003-4712-3676"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pengyue Jia","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-4712-3676","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051633278","display_name":"Yiqing Wu","orcid":"https://orcid.org/0000-0002-8068-9420"},"institutions":[{"id":"https://openalex.org/I114218197","display_name":"Chinese Academy of Social Sciences","ror":"https://ror.org/05bxbmy32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqing Wu","raw_affiliation_strings":["Institution of Computation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8068-9420","affiliations":[{"raw_affiliation_string":"Institution of Computation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I114218197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Intelligent Game and Decision Lab, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9517-262X","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525613","display_name":"Ke Liang","orcid":"https://orcid.org/0000-0002-4837-455X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4837-455X","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021037797","display_name":"Maolin Wang","orcid":"https://orcid.org/0000-0002-0073-0172"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Maolin Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-0073-0172","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061701176","display_name":"Yiqi Wang","orcid":"https://orcid.org/0000-0001-9594-1919"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqi Wang","raw_affiliation_strings":["National University of Defense Technology, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-9594-1919","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041921496","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0001-9170-7009"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Beihang University, Beijing, China and State Key Laboratory of Complex &amp; Critical Software Environment, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9170-7009","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China and State Key Laboratory of Complex &amp; Critical Software Environment, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-2926-4416","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9094,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84780208,"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":"3156","last_page":"3167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7899080514907837},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6593154072761536},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6190004348754883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785118937492371},{"id":"https://openalex.org/keywords/selection-principle","display_name":"Selection principle","score":0.4205559194087982},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2817254662513733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24374791979789734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22712981700897217},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1320512592792511},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.1151520311832428},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07129314541816711}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7899080514907837},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6593154072761536},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6190004348754883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785118937492371},{"id":"https://openalex.org/C2777834635","wikidata":"https://www.wikidata.org/wiki/Q25305327","display_name":"Selection principle","level":2,"score":0.4205559194087982},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2817254662513733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24374791979789734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22712981700897217},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1320512592792511},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.1151520311832428},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07129314541816711}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737043","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737043","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737043","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737043","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737043","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737043","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G245388120","display_name":null,"funder_award_id":"62176014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G398752837","display_name":null,"funder_award_id":"2024002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5011483852","display_name":null,"funder_award_id":"2024002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6301420548","display_name":null,"funder_award_id":"2024YFF0729003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320307285","display_name":"Impact Fund","ror":"https://ror.org/00jb20j87"},{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412876844.pdf","grobid_xml":"https://content.openalex.org/works/W4412876844.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W2336558992","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2788295351","https://openalex.org/W2799544270","https://openalex.org/W2809290718","https://openalex.org/W2898085636","https://openalex.org/W2945827670","https://openalex.org/W2962989965","https://openalex.org/W2963367478","https://openalex.org/W2971196067","https://openalex.org/W2984100107","https://openalex.org/W2998103904","https://openalex.org/W3045200674","https://openalex.org/W3087931390","https://openalex.org/W3100278010","https://openalex.org/W3101704389","https://openalex.org/W3102778384","https://openalex.org/W3102899483","https://openalex.org/W3170478547","https://openalex.org/W3179424508","https://openalex.org/W3206381175","https://openalex.org/W3206992626","https://openalex.org/W3207257408","https://openalex.org/W3209943551","https://openalex.org/W3210268599","https://openalex.org/W4213365329","https://openalex.org/W4220974940","https://openalex.org/W4221140664","https://openalex.org/W4283698545","https://openalex.org/W4283824940","https://openalex.org/W4290874915","https://openalex.org/W4301312111","https://openalex.org/W4306316988","https://openalex.org/W4306317048","https://openalex.org/W4311404181","https://openalex.org/W4312391334","https://openalex.org/W4368232818","https://openalex.org/W4384641542","https://openalex.org/W4384643614","https://openalex.org/W4384774596","https://openalex.org/W4385287606","https://openalex.org/W4385568236","https://openalex.org/W4385774925","https://openalex.org/W4386523149","https://openalex.org/W4386721920","https://openalex.org/W4387846269","https://openalex.org/W4387846486","https://openalex.org/W4392384596","https://openalex.org/W4392384671","https://openalex.org/W4393380945","https://openalex.org/W4396723404","https://openalex.org/W4400525826","https://openalex.org/W4400526196","https://openalex.org/W4403577345","https://openalex.org/W4412825745"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2377983647","https://openalex.org/W1840084849","https://openalex.org/W2362047930","https://openalex.org/W2146112978"],"abstract_inverted_index":{"Multi-Domain":[0],"Recommendation":[1],"(MDR)":[2],"achieves":[3],"the":[4,11,18,35,78,116,142,148,161,165,169,174,204,211,226,235],"desirable":[5],"recommendation":[6,110],"performance":[7,196],"by":[8],"effectively":[9,76,140],"utilizing":[10],"transfer":[12,30,80],"information":[13,38,60],"across":[14,41],"different":[15,42],"domains.":[16,43,146],"Despite":[17],"great":[19],"success,":[20],"most":[21],"existing":[22,191],"MDR":[23,192,227],"methods":[24,193],"adopt":[25],"a":[26,52,67,89,99,133,183],"single":[27],"structure":[28],"to":[29,66,75,84,127,139],"complex":[31,79],"domain-shared":[32],"knowledge.":[33],"However,":[34],"beneficial":[36],"transferring":[37],"should":[39],"vary":[40],"When":[44],"there":[45],"is":[46,54,87,182,210],"knowledge":[47,123],"conflict":[48],"between":[49,82,145],"domains":[50,63,83,155,224],"or":[51],"domain":[53,122,126,136,158,166,176],"of":[55,119,164,206,237],"poor":[56],"quality,":[57],"unselectively":[58],"leveraging":[59],"from":[61,173],"all":[62],"will":[64],"lead":[65],"serious":[68],"Negative":[69],"Transfer":[70],"Problem":[71],"(NTP).":[72],"Therefore,":[73],"how":[74],"model":[77,141],"relationships":[81],"avoid":[85],"NTP":[86],"still":[88],"direction":[90],"worth":[91],"exploring.":[92],"To":[93,203],"address":[94],"these":[95],"issues,":[96],"we":[97,131],"propose":[98,132],"simple":[100],"and":[101,168,220],"dynamic":[102],"Similar":[103],"Domain":[104],"Selection":[105],"Principle":[106],"(SDSP)":[107],"for":[108,124,156,194],"multi-domain":[109],"in":[111,225],"this":[112],"paper.":[113],"SDSP":[114,150,181],"presents":[115],"initial":[117],"exploration":[118],"selecting":[120],"suitable":[121],"each":[125,157],"alleviate":[128],"NTP.":[129],"Specifically,":[130],"novel":[134],"prototype-based":[135],"distance":[137,171],"measure":[138,172,217],"complexity":[143],"relationship":[144],"Thereafter,":[147],"proposed":[149,239],"can":[151,187,215],"dynamically":[152,221],"find":[153],"similar":[154],"based":[159],"on":[160,231],"supervised":[162],"signals":[163],"metrics":[167],"unsupervised":[170],"learned":[175],"prototype.":[177],"We":[178],"emphasize":[179],"that":[180,186,214],"lightweight":[184],"method":[185],"be":[188],"incorporated":[189],"with":[190],"better":[195],"while":[197],"not":[198],"introducing":[199],"excessive":[200],"time":[201],"overheads.":[202],"best":[205],"our":[207,238],"knowledge,":[208],"it":[209],"first":[212],"solution":[213],"explicitly":[216],"domain-level":[218],"gaps":[219],"select":[222],"appropriate":[223],"field.":[228],"Extensive":[229],"experiments":[230],"three":[232],"datasets":[233],"demonstrate":[234],"effectiveness":[236],"method.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
