{"id":"https://openalex.org/W4403582618","doi":"https://doi.org/10.1145/3627673.3679782","title":"DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation","display_name":"DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582618","doi":"https://doi.org/10.1145/3627673.3679782"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679782","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109875808","display_name":"Heyuan Huang","orcid":"https://orcid.org/0009-0000-0320-3629"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Heyuan Huang","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101166253","display_name":"Xingyu Lou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingyu Lou","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028791879","display_name":"Chaochao Chen","orcid":"https://orcid.org/0000-0003-1419-964X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070042689","display_name":"Pei-Chi Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengxiang Cheng","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113447607","display_name":"Y.-C. Xin","orcid":"https://orcid.org/0000-0003-0202-1561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Xin","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063951475","display_name":"C. He","orcid":"https://orcid.org/0009-0008-6995-1580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengwei He","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070865434","display_name":"X J Liu","orcid":"https://orcid.org/0009-0002-4360-8510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Liu","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384677","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-0481-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["OPPO, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, Guangdong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5109875808"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28541567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"910","last_page":"920"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482445597648621},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6194359660148621},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5761817693710327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20965859293937683},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0780630111694336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482445597648621},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6194359660148621},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5761817693710327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20965859293937683},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0780630111694336},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627673.3679782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403582618.pdf","grobid_xml":"https://content.openalex.org/works/W4403582618.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2095577883","https://openalex.org/W2187089797","https://openalex.org/W2475334473","https://openalex.org/W2798868970","https://openalex.org/W2808716093","https://openalex.org/W2914304175","https://openalex.org/W2964182926","https://openalex.org/W2998115938","https://openalex.org/W3093907268","https://openalex.org/W3094280243","https://openalex.org/W3096831136","https://openalex.org/W3131444225","https://openalex.org/W3170587616","https://openalex.org/W3190386329","https://openalex.org/W4213052788","https://openalex.org/W4221030341","https://openalex.org/W4225385394","https://openalex.org/W4226072877","https://openalex.org/W4280611174","https://openalex.org/W4289639938","https://openalex.org/W4292419518","https://openalex.org/W4294438083","https://openalex.org/W4300932606","https://openalex.org/W4306317202","https://openalex.org/W4306317417","https://openalex.org/W4310416255","https://openalex.org/W4321480025","https://openalex.org/W4367309909","https://openalex.org/W4382458595","https://openalex.org/W4384887418","https://openalex.org/W4385562596","https://openalex.org/W4385567574","https://openalex.org/W4386721920","https://openalex.org/W4392384671","https://openalex.org/W4392384765","https://openalex.org/W4394717697","https://openalex.org/W4396844128"],"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/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Cross-Domain":[0],"Recommendation":[1],"(CDR)":[2],"have":[3],"received":[4],"widespread":[5],"attention":[6],"due":[7],"to":[8,11,49,104,133,138],"their":[9],"ability":[10],"utilize":[12],"rich":[13],"information":[14,108,137],"across":[15],"domains.":[16],"However,":[17],"most":[18],"existing":[19,39],"CDR":[20,40],"methods":[21,41],"assume":[22],"an":[23,61],"ideal":[24],"static":[25],"condition":[26],"that":[27,79],"is":[28,89],"not":[29],"practical":[30],"in":[31,42,83,91],"industrial":[32,44,68,76],"recommendation":[33],"systems":[34],"(RS).":[35],"Therefore,":[36],"simply":[37],"applying":[38],"the":[43,75,92,98,110,116,120,127,135,139,147,164],"RS":[45,77],"environment":[46,78],"may":[47],"lead":[48],"low":[50],"effectiveness":[51,165],"and":[52,119,159,166],"efficiency.":[53],"To":[54],"fill":[55],"this":[56],"gap,":[57],"we":[58,100,129],"propose":[59],"DIIT,":[60],"end-to-end":[62],"Domain-Invariant":[63],"Information":[64],"Transfer":[65],"method":[66],"for":[67,96,125,151],"cross-domain":[69],"recommendation.":[70],"Specifically,":[71],"We":[72],"first":[73],"simulate":[74],"maintains":[80],"respective":[81],"models":[82,114],"multiple":[84],"domains,":[85],"each":[86],"of":[87,168],"them":[88],"trained":[90],"incremental":[93],"mode.":[94],"Then,":[95],"improving":[97,126],"effectiveness,":[99],"design":[101,130],"two":[102,160],"extractors":[103],"fully":[105],"extract":[106],"domain-invariant":[107],"from":[109],"latest":[111,140],"source":[112],"domain":[113,117,142,149],"at":[115],"level":[118,122],"representation":[121],"respectively.":[123],"Finally,":[124],"efficiency,":[128],"a":[131],"migrator":[132],"transfer":[134],"extracted":[136],"target":[141,148],"model,":[143],"which":[144],"only":[145],"need":[146],"model":[150],"inference.":[152],"Experiments":[153],"conducted":[154],"on":[155],"one":[156],"production":[157],"dataset":[158],"public":[161],"datasets":[162],"verify":[163],"efficiency":[167],"DIIT.":[169]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
