{"id":"https://openalex.org/W4381744310","doi":"https://doi.org/10.1109/cscwd57460.2023.10152753","title":"Momentum Contrastive Learning for Sequential Recommendation","display_name":"Momentum Contrastive Learning for Sequential Recommendation","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744310","doi":"https://doi.org/10.1109/cscwd57460.2023.10152753"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152753","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5064598993","display_name":"Bing Shi","orcid":"https://orcid.org/0000-0002-5828-1736"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Shi","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China,211106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China,211106","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025660951","display_name":"Wenan Tan","orcid":"https://orcid.org/0000-0003-2608-652X"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenan Tan","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China,211106","School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China,211106","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102017383","display_name":"Pengfei Yu","orcid":"https://orcid.org/0000-0002-9926-9442"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Yu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China,211106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China,211106","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"107","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11448","display_name":"Face recognition and analysis","score":0.9420999884605408,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9194999933242798,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.846799910068512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7849710583686829},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6329295635223389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6159542798995972},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5747078657150269},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5517275333404541},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5493287444114685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.537903904914856},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5359671115875244},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5266582369804382},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44835951924324036},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32234764099121094},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08021703362464905}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.846799910068512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849710583686829},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6329295635223389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6159542798995972},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5747078657150269},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5517275333404541},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5493287444114685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.537903904914856},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5359671115875244},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5266582369804382},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44835951924324036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32234764099121094},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08021703362464905},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152753","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2583674722","https://openalex.org/W2783272285","https://openalex.org/W2951645301","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W3035524453","https://openalex.org/W3035725276","https://openalex.org/W3065542300","https://openalex.org/W3100260481","https://openalex.org/W3133849783","https://openalex.org/W4224316819","https://openalex.org/W4299286960","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W2062195135","https://openalex.org/W2375480909","https://openalex.org/W4304185162","https://openalex.org/W2353314428","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"Contrastive":[0,75],"self-supervised":[1],"learning":[2,22],"(SSL)":[3],"based":[4,30],"Sequential":[5,78],"Recommendations":[6],"(SR)":[7],"have":[8],"recently":[9],"achieved":[10],"significant":[11],"performance":[12,97],"improvements":[13],"in":[14],"addressing":[15],"the":[16,33,42,46,54,56,58,60,66,90],"data":[17],"sparsity":[18],"problem,":[19],"which":[20,94],"hinders":[21],"high-quality":[23],"user":[24],"representations.":[25],"However,":[26],"current":[27],"contrastive":[28],"SSL":[29],"models":[31],"ignore":[32],"importance":[34],"of":[35,49,68,92],"consistency":[36,69],"between":[37,45],"sample":[38,51],"pairs.":[39],"Consistency":[40],"means":[41],"similarity":[43],"degree":[44],"feature":[47,61],"representation":[48],"encoded":[50],"pairs,":[52],"and":[53,70],"higher":[55],"consistency,":[57],"better":[59],"learning.":[62],"To":[63],"figure":[64],"out":[65],"benefits":[67],"utilize":[71],"it":[72],"effectively,":[73],"Momentum":[74],"Learning":[76],"for":[77],"Recommendation":[79],"(MCL4SRec)":[80],"is":[81],"designed.":[82],"Existing":[83],"experiments":[84],"on":[85],"four":[86],"public":[87],"datasets":[88],"demonstrate":[89],"superiority":[91],"MCL4SRec,":[93],"achieves":[95],"state-of-the-art":[96],"over":[98],"existing":[99],"baselines.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}