{"id":"https://openalex.org/W3081320135","doi":"https://doi.org/10.1145/3394486.3403113","title":"MAMO","display_name":"MAMO","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3081320135","doi":"https://doi.org/10.1145/3394486.3403113","mag":"3081320135"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","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/A5080602004","display_name":"Manqing Dong","orcid":"https://orcid.org/0000-0003-1987-2207"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Manqing Dong","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061624427","display_name":"Yuan Feng","orcid":"https://orcid.org/0000-0003-0231-2238"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Feng Yuan","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006841485","display_name":"Xiwei Xu","orcid":"https://orcid.org/0000-0002-2273-1862"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiwei Xu","raw_affiliation_strings":["Data 61, CSIRO, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data 61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064683660","display_name":"Liming Zhu","orcid":"https://orcid.org/0000-0001-5839-3765"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liming Zhu","raw_affiliation_strings":["Data 61, CSIRO, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data 61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":164,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"697"},"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":0.9853000044822693,"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":0.9629999995231628,"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/initialization","display_name":"Initialization","score":0.92155522108078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8752509355545044},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7109107971191406},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6629023551940918},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6091729402542114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5674312710762024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5328322649002075},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5068028569221497},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4648534059524536},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4186372756958008},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3594443202018738}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.92155522108078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8752509355545044},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7109107971191406},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6629023551940918},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6091729402542114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5674312710762024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5328322649002075},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5068028569221497},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4648534059524536},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4186372756958008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3594443202018738},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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:10.1145/3394486.3403113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.46000000834465027,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W805665992","https://openalex.org/W1687468423","https://openalex.org/W2441269247","https://openalex.org/W2507344042","https://openalex.org/W2518299592","https://openalex.org/W2533696134","https://openalex.org/W2592667944","https://openalex.org/W2605350416","https://openalex.org/W2619383789","https://openalex.org/W2739273093","https://openalex.org/W2763015105","https://openalex.org/W2783944588","https://openalex.org/W2803871557","https://openalex.org/W2898653164","https://openalex.org/W2963198154","https://openalex.org/W2963878746","https://openalex.org/W2964047085","https://openalex.org/W2964983698","https://openalex.org/W2999746944","https://openalex.org/W3122507327","https://openalex.org/W4288083766"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"A":[0],"common":[1],"challenge":[2],"for":[3,68,77,90,105,159],"most":[4,82],"current":[5],"recommender":[6,21],"systems":[7,22],"is":[8,61],"the":[9,14,19,38,42,47,74,94,100,125,132,139,146,150,161,166,183,186],"cold-start":[10,177],"problem.":[11],"Due":[12],"to":[13,25,130,144],"lack":[15],"of":[16,54,185],"user-item":[17],"interactions,":[18],"fine-tuned":[20],"are":[23,128,142],"unable":[24],"handle":[26],"situations":[27],"with":[28,134],"new":[29,32],"users":[30,70],"or":[31],"items.":[33,57],"Recently,":[34],"some":[35,106],"works":[36],"introduce":[37],"meta-optimization":[39,157],"idea":[40,60],"into":[41,102],"recommendation":[43,85,172],"scenarios,":[44],"i.e.":[45],"predicting":[46,149],"user":[48,79,151],"preference":[49],"by":[50],"only":[51],"a":[52,63,156],"few":[53],"past":[55],"interacted":[56],"The":[58,179],"core":[59],"learning":[62,73],"global":[64,95],"sharing":[65,96],"initialization":[66],"parameter":[67,91,97,136],"all":[69],"and":[71,121,174],"then":[72],"local":[75,103],"parameters":[76],"each":[78],"separately.":[80],"However,":[81],"meta-learning":[83,89],"based":[84],"approaches":[86],"adopt":[87,155],"model-agnostic":[88],"initialization,":[92,137],"where":[93],"may":[98],"lead":[99],"model":[101,133,147,167],"optima":[104],"users.":[107],"In":[108],"this":[109],"paper,":[110],"we":[111,154],"design":[112],"two":[113,169],"memory":[114],"matrices":[115],"that":[116],"can":[117],"store":[118],"task-specific":[119,140],"memories":[120,127,141],"feature-specific":[122,126],"memories.":[123],"Specifically,":[124],"used":[129,143,171],"guide":[131,145],"personalized":[135],"while":[138],"fast":[148],"preference.":[152],"And":[153],"approach":[158],"optimizing":[160],"proposed":[162,187],"method.":[163],"We":[164],"test":[165],"on":[168],"widely":[170],"datasets":[173],"consider":[175],"four":[176],"situations.":[178],"experimental":[180],"results":[181],"show":[182],"effectiveness":[184],"methods.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":39},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2020-09-01T00:00:00"}