{"id":"https://openalex.org/W4384774596","doi":"https://doi.org/10.1145/3539618.3591701","title":"AutoTransfer: Instance Transfer for Cross-Domain Recommendations","display_name":"AutoTransfer: Instance Transfer for Cross-Domain Recommendations","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384774596","doi":"https://doi.org/10.1145/3539618.3591701"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591701","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/A5040803163","display_name":"Jingtong Gao","orcid":"https://orcid.org/0000-0002-4470-5972"},"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":true,"raw_author_name":"Jingtong Gao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"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/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, China"],"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/A5100427434","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-3750-2533"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049980329","display_name":"Yan Bin Fan","orcid":"https://orcid.org/0000-0003-3416-2959"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yan","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040803163"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":11.7781,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98510747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1478","last_page":"1487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","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/T13702","display_name":"Machine Learning in Healthcare","score":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.6685540676116943},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4830816090106964},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4471985995769501},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08492499589920044},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.054721295833587646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685540676116943},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4830816090106964},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4471985995769501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08492499589920044},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.054721295833587646},{"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:10.1145/3539618.3591701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591701","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1967025894","https://openalex.org/W2030808931","https://openalex.org/W2036542275","https://openalex.org/W2117420919","https://openalex.org/W2211399443","https://openalex.org/W2443960221","https://openalex.org/W2548570154","https://openalex.org/W2564555911","https://openalex.org/W2604662567","https://openalex.org/W2769690594","https://openalex.org/W2788728386","https://openalex.org/W2898151875","https://openalex.org/W2898383595","https://openalex.org/W2906995678","https://openalex.org/W2951278158","https://openalex.org/W2952841984","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2964995401","https://openalex.org/W2966123616","https://openalex.org/W2966501701","https://openalex.org/W2987679642","https://openalex.org/W2996891863","https://openalex.org/W3008007459","https://openalex.org/W3034464816","https://openalex.org/W3084798277","https://openalex.org/W3098822068","https://openalex.org/W3100789280","https://openalex.org/W3124675547","https://openalex.org/W3154430477","https://openalex.org/W3157410348","https://openalex.org/W3187977559","https://openalex.org/W3188301284","https://openalex.org/W4224227049","https://openalex.org/W4284702156","https://openalex.org/W4288616731","https://openalex.org/W4290874950","https://openalex.org/W4324323345"],"related_works":["https://openalex.org/W2623347760","https://openalex.org/W3034138874","https://openalex.org/W2743342830","https://openalex.org/W2383503060","https://openalex.org/W2362192218","https://openalex.org/W1991466308","https://openalex.org/W2387284662","https://openalex.org/W2364074001","https://openalex.org/W2360568537","https://openalex.org/W2374931144"],"abstract_inverted_index":{"Cross-Domain":[0],"Recommendation":[1,204],"(CDR)":[2],"is":[3,28,71,80,104,210],"a":[4,149],"widely":[5],"used":[6],"approach":[7],"for":[8,109,137,172,212],"leveraging":[9],"information":[10,36,52,70,91],"from":[11,37,53,131,156],"domains":[12,18],"with":[13,19,121],"rich":[14],"data":[15],"to":[16,40,57,127,134],"assist":[17],"insufficient":[20],"data.":[21],"A":[22],"key":[23],"challenge":[24],"of":[25,34,66,98,114,151,176],"CDR":[26,46,77,189,199],"research":[27],"the":[29,54,59,63,67,75,88,95,157,161,194],"effective":[30],"and":[31,79,103,153,201],"efficient":[32],"transfer":[33],"helpful":[35],"source":[38,55,132,158],"domain":[39,56,133,136],"target":[41,60,135,182],"domain.":[42,61,159,183],"Currently,":[43],"most":[44],"existing":[45],"methods":[47],"focus":[48],"on":[49,74,186],"extracting":[50],"implicit":[51,69,90],"enhance":[58],"However,":[62],"hidden":[64],"structure":[65],"extracted":[68,89],"highly":[72],"dependent":[73],"specific":[76,99],"model,":[78],"therefore":[81],"not":[82,106],"easily":[83,107],"reusable":[84],"or":[85],"transferable.":[86],"Additionally,":[87],"only":[92],"appears":[93],"within":[94],"intermediate":[96],"substructure":[97],"CDRs":[100],"during":[101],"training":[102,175],"thus":[105],"retained":[108],"more":[110],"use.":[111],"In":[112],"light":[113],"these":[115],"challenges,":[116],"this":[117],"paper":[118],"proposes":[119],"AutoTransfer,":[120],"an":[122,144],"Instance":[123],"Transfer":[124],"Policy":[125],"Network,":[126],"selectively":[128],"transfers":[129],"instances":[130,155],"improved":[138],"recommendations.":[139],"Specifically,":[140],"AutoTransfer":[141],"acts":[142],"as":[143],"agent":[145],"that":[146,168,193],"adaptively":[147],"selects":[148],"subset":[150,163],"informative":[152],"transferable":[154],"Notably,":[160],"selected":[162],"possesses":[164],"extraordinary":[165],"re-utilization":[166],"property":[167],"can":[169],"be":[170],"saved":[171],"improving":[173],"model":[174],"various":[177],"future":[178],"RS":[179],"models":[180],"in":[181],"Experimental":[184],"results":[185],"two":[187],"public":[188],"benchmark":[190],"datasets":[191],"demonstrate":[192],"proposed":[195],"method":[196],"outperforms":[197],"state-of-the-art":[198],"baselines":[200],"classic":[202],"Single-Domain":[203],"(SDR)":[205],"approaches.":[206],"The":[207],"implementation":[208],"code":[209],"available":[211],"easy":[213],"reproduction.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}