{"id":"https://openalex.org/W3211356784","doi":"https://doi.org/10.1109/tmm.2021.3126146","title":"Multisample-Based Contrastive Loss for Top-K Recommendation","display_name":"Multisample-Based Contrastive Loss for Top-K Recommendation","publication_year":2021,"publication_date":"2021-11-09","ids":{"openalex":"https://openalex.org/W3211356784","doi":"https://doi.org/10.1109/tmm.2021.3126146","mag":"3211356784"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3126146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3126146","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5063734570","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-2200-6249"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2200-6249","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079805574","display_name":"Guoshuai Zhao","orcid":"https://orcid.org/0000-0003-4392-8450"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoshuai Zhao","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4392-8450","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080776231","display_name":"Yuxia Wu","orcid":"https://orcid.org/0000-0003-3873-3982"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxia Wu","raw_affiliation_strings":["School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3873-3982","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014825654","display_name":"Xueming Qian","orcid":"https://orcid.org/0000-0002-3173-6307"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueming Qian","raw_affiliation_strings":["Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Information and Communication Engineering, and SMILES LAB, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3173-6307","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Information and Communication Engineering, and SMILES LAB, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":9.9239,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98027893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"339","last_page":"351"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9908000230789185,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.984000027179718,"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":0.7860344648361206},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5913981199264526},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5569303035736084},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5376293659210205},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5333582758903503},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4847133159637451},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45761173963546753},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42692089080810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41593897342681885},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3707238435745239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3376261293888092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3257475793361664},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2672460675239563},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14691144227981567},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10900726914405823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860344648361206},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5913981199264526},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5569303035736084},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5376293659210205},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5333582758903503},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4847133159637451},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45761173963546753},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42692089080810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41593897342681885},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3707238435745239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3376261293888092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3257475793361664},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2672460675239563},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14691144227981567},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10900726914405823},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3126146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3126146","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1070860207","display_name":null,"funder_award_id":"xxj022019003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1856004670","display_name":null,"funder_award_id":"61902309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2653342970","display_name":null,"funder_award_id":"61701391","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3353997047","display_name":null,"funder_award_id":"2020M683496","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7987947441","display_name":"\u57fa\u4e8e\u5bf9\u8c61\u7684\u76d1\u63a7\u89c6\u9891\u68c0\u7d22\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2100799972","https://openalex.org/W2138621090","https://openalex.org/W2157364932","https://openalex.org/W2277528685","https://openalex.org/W2294002049","https://openalex.org/W2408821365","https://openalex.org/W2511357636","https://openalex.org/W2601157141","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2640408555","https://openalex.org/W2750004028","https://openalex.org/W2798991696","https://openalex.org/W2807021761","https://openalex.org/W2900790473","https://openalex.org/W2916582722","https://openalex.org/W2945827670","https://openalex.org/W2946617802","https://openalex.org/W2962712142","https://openalex.org/W2963085847","https://openalex.org/W2964052347","https://openalex.org/W2982108874","https://openalex.org/W2998431760","https://openalex.org/W2999309750","https://openalex.org/W3009802958","https://openalex.org/W3015126766","https://openalex.org/W3034646226","https://openalex.org/W3035524453","https://openalex.org/W3035739162","https://openalex.org/W3036446966","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3095746859","https://openalex.org/W3099152386","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3122490299","https://openalex.org/W3153325943","https://openalex.org/W3154345605","https://openalex.org/W3154503084","https://openalex.org/W3165959525","https://openalex.org/W3168023209","https://openalex.org/W3176074827","https://openalex.org/W3193016584","https://openalex.org/W3193405108","https://openalex.org/W3193627072","https://openalex.org/W3206310679","https://openalex.org/W4241740113","https://openalex.org/W6675751002","https://openalex.org/W6680830989","https://openalex.org/W6730323794","https://openalex.org/W6754278344","https://openalex.org/W6763416564","https://openalex.org/W6774314701","https://openalex.org/W6777265123","https://openalex.org/W6779326418","https://openalex.org/W6779518175","https://openalex.org/W6780191644","https://openalex.org/W6784694379","https://openalex.org/W6785294976","https://openalex.org/W6785391576","https://openalex.org/W6796694783","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W4387838477","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W3107426390","https://openalex.org/W1534368937","https://openalex.org/W4312624109","https://openalex.org/W3175683656","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Top-k":[0],"recommendation":[1,7],"is":[2,10,23,40,48,104,183,194],"a":[3,120,141],"fundamental":[4],"task":[5],"in":[6,26,90,115,189],"systems":[8],"that":[9,29,38,93,105,147],"generally":[11],"learned":[12],"by":[13,125,152],"comparing":[14],"positive":[15,57,74,88,108,128,157],"and":[16,35,58,76,158,161,185],"negative":[17,59,78,159],"pairs.":[18],"The":[19,180],"contrastive":[20,27,143],"loss":[21,136,144],"(CL)":[22],"the":[24,53,56,61,64,69,81,100,106,134,149,154,166,175],"key":[25],"learning":[28],"has":[30],"recently":[31],"received":[32],"more":[33],"attention,":[34],"we":[36,118,139],"find":[37],"it":[39,51],"well":[41],"suited":[42],"for":[43],"top-k":[44],"recommendations.":[45,116],"However,":[46],"CL":[47,67,135],"problematic":[49],"because":[50],"treats":[52],"importance":[54,95,155],"of":[55,72,156,178],"samples":[60,160],"same.":[62],"On":[63,80],"one":[65,73],"hand,":[66,83],"faces":[68],"imbalance":[70],"problem":[71],"sample":[75],"many":[77,190],"samples.":[79],"other":[82,101],"there":[84],"are":[85,110],"so":[86],"few":[87],"items":[89,109,129],"sparser":[91],"datasets":[92],"their":[94],"should":[96],"be":[97,187],"emphasized.":[98],"Moreover,":[99],"important":[102],"issue":[103],"sparse":[107],"still":[111],"not":[112],"sufficiently":[113],"utilized":[114],"Consequently,":[117],"propose":[119,140],"new":[121],"data":[122,162],"augmentation":[123],"method":[124],"using":[126],"multiple":[127],"(or":[130],"samples)":[131],"simultaneously":[132],"with":[133],"function.":[137],"Therefore,":[138],"multisample-based":[142],"(MSCL)":[145],"function":[146],"solves":[148],"two":[150],"problems":[151],"balancing":[153],"augmentation.":[163],"Based":[164],"on":[165],"graph":[167],"convolution":[168],"network":[169],"(GCN)":[170],"method,":[171],"experimental":[172],"results":[173],"demonstrate":[174],"state-of-the-art":[176],"performance":[177],"MSCL.":[179],"proposed":[181],"MSCL":[182],"simple":[184],"can":[186],"applied":[188],"methods.":[191],"Our":[192],"code":[193],"available":[195],"athttps://github.com/haotangxjtu/MSCL.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
