{"id":"https://openalex.org/W4390900836","doi":"https://doi.org/10.1145/3635638.3635644","title":"CM: A Cross and Mixture unit for multitask recommendation","display_name":"CM: A Cross and Mixture unit for multitask recommendation","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4390900836","doi":"https://doi.org/10.1145/3635638.3635644"},"language":"en","primary_location":{"id":"doi:10.1145/3635638.3635644","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635638.3635644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","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/A5102857796","display_name":"Hao Xie","orcid":"https://orcid.org/0009-0001-2205-4603"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Xie","raw_affiliation_strings":["Information Science and Technology, Yunnan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0001-2205-4603","affiliations":[{"raw_affiliation_string":"Information Science and Technology, Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084677085","display_name":"Jianhou Gan","orcid":"https://orcid.org/0000-0002-1287-857X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhou Gan","raw_affiliation_strings":["Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, China and \rYunnan Key Laboratory of Smart Education, Yunnan Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-1287-857X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, China and \rYunnan Key Laboratory of Smart Education, Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027553944","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-9878-4664"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, China and \rYunnan Key Laboratory of Smart Education, Yunnan Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-9878-4664","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, China and \rYunnan Key Laboratory of Smart Education, Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736217","display_name":"Zijie Li","orcid":"https://orcid.org/0009-0008-5211-9536"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Li","raw_affiliation_strings":["Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0008-5211-9536","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103025903","display_name":"Xiaoyu Han","orcid":"https://orcid.org/0009-0000-7303-033X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Han","raw_affiliation_strings":["Information Science and Technology, Yunnan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0000-7303-033X","affiliations":[{"raw_affiliation_string":"Information Science and Technology, Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102857796"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19242348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"39"},"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":0.9986000061035156,"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":0.9986000061035156,"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":0.9979000091552734,"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":0.9955999851226807,"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":0.8016180992126465},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.796924889087677},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7261021733283997},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7122108936309814},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6904520988464355},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6795905828475952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409302353858948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6256154775619507},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5724748969078064},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4871489703655243},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41430121660232544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09555605053901672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016180992126465},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.796924889087677},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7261021733283997},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7122108936309814},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6904520988464355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6795905828475952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409302353858948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6256154775619507},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5724748969078064},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4871489703655243},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41430121660232544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09555605053901672},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635638.3635644","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635638.3635644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W618024573","https://openalex.org/W1614862348","https://openalex.org/W2512971201","https://openalex.org/W2913340405","https://openalex.org/W2951369132","https://openalex.org/W2963877604","https://openalex.org/W3080189354","https://openalex.org/W3087931390","https://openalex.org/W3094431459","https://openalex.org/W3100592176","https://openalex.org/W3170073102","https://openalex.org/W3187615801","https://openalex.org/W3191654415","https://openalex.org/W4281624287"],"related_works":["https://openalex.org/W2237537322","https://openalex.org/W2950678851","https://openalex.org/W4301248618","https://openalex.org/W2165343651","https://openalex.org/W2242427765","https://openalex.org/W2075830955","https://openalex.org/W2343790552","https://openalex.org/W3111398917","https://openalex.org/W4385507578","https://openalex.org/W2949157572"],"abstract_inverted_index":{"With":[0],"the":[1,19,50,58,65,69,87,109,114],"rapid":[2],"development":[3],"of":[4,60,91,117],"deep":[5],"recommendation":[6,84],"models,":[7],"Multitask":[8],"Learning":[9],"(MTL)":[10],"enables":[11],"models":[12,92],"to":[13,47,63,67,85,108],"have":[14,32,45],"better":[15],"generalization":[16],"ability":[17],"in":[18,57],"learning":[20],"process":[21],"by":[22],"extracting":[23,35],"relevant":[24],"information":[25,37,52,66],"from":[26,38],"different":[27],"tasks.":[28],"Although":[29],"many":[30],"studies":[31],"focused":[33],"on":[34],"task-specific":[36],"expert":[39],"networks":[40],"using":[41],"attention":[42],"mechanisms,":[43],"they":[44],"failed":[46],"fully":[48],"exploit":[49],"rich":[51],"among":[53],"task":[54,62,97],"towers,":[55],"resulting":[56],"failure":[59],"each":[61],"use":[64],"improve":[68,86],"model's":[70],"effectiveness.":[71],"In":[72],"this":[73,104],"paper,":[74],"design":[75],"a":[76],"Cross":[77],"and":[78],"Mixture":[79],"(CM)":[80],"unit":[81],"for":[82],"multitask":[83,111],"feature":[88,94,105],"exploitation":[89],"capability":[90],"through":[93],"interaction":[95],"between":[96],"towers.":[98],"The":[99],"results":[100],"show":[101],"that":[102],"adding":[103],"fusion":[106],"method":[107],"existing":[110],"model":[112],"higher":[113],"original":[115],"effect":[116],"three":[118],"common":[119],"MTL":[120],"datasets.":[121]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}