{"id":"https://openalex.org/W4313892571","doi":"https://doi.org/10.1109/icsai57119.2022.10005401","title":"Multi-channel Contrastive Learning for Sequential Recommendation","display_name":"Multi-channel Contrastive Learning for Sequential Recommendation","publication_year":2022,"publication_date":"2022-12-10","ids":{"openalex":"https://openalex.org/W4313892571","doi":"https://doi.org/10.1109/icsai57119.2022.10005401"},"language":"en","primary_location":{"id":"doi:10.1109/icsai57119.2022.10005401","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsai57119.2022.10005401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Systems and Informatics (ICSAI)","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/A5023022697","display_name":"Quanhong Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088494","display_name":"Gansu Province Computing Center","ror":"https://ror.org/003wq4h14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210088494"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quanhong Tian","raw_affiliation_strings":["Gansu Province Computing Center,Innovation, Development and Evaluation Department,Lanzhou,China","Innovation, Development and Evaluation Department, Gansu Province Computing Center, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Gansu Province Computing Center,Innovation, Development and Evaluation Department,Lanzhou,China","institution_ids":["https://openalex.org/I4210088494"]},{"raw_affiliation_string":"Innovation, Development and Evaluation Department, Gansu Province Computing Center, Lanzhou, China","institution_ids":["https://openalex.org/I4210088494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023022697"],"corresponding_institution_ids":["https://openalex.org/I4210088494"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27711931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":null,"first_page":"1","last_page":"6"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9878000020980835,"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":0.7641473412513733},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4793437421321869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45834964513778687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45459961891174316},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4054873585700989},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17350417375564575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641473412513733},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4793437421321869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45834964513778687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45459961891174316},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4054873585700989},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17350417375564575}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai57119.2022.10005401","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsai57119.2022.10005401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322880","display_name":"Natural Science Foundation of Gansu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2783272285","https://openalex.org/W2963367478","https://openalex.org/W2965898633","https://openalex.org/W3134530148","https://openalex.org/W3154920485","https://openalex.org/W3191002448","https://openalex.org/W3204014482","https://openalex.org/W4210510439","https://openalex.org/W4224936667","https://openalex.org/W4280545955","https://openalex.org/W4313058584","https://openalex.org/W6692935382","https://openalex.org/W6760001035","https://openalex.org/W7029948724"],"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/W3204019825"],"abstract_inverted_index":{"The":[0,24],"purpose":[1],"of":[2,45],"Sequential":[3],"Recommendation":[4],"(SR)":[5],"is":[6,70,93,146],"to":[7,16,41,119,148],"recommend":[8],"the":[9,33,43,55,84,100,173],"next":[10],"commodities":[11],"that":[12,166],"a":[13,62,89,113,141],"user":[14],"wants":[15],"buy":[17],"based":[18],"on":[19,31,48,161],"their":[20],"historical":[21],"interaction":[22,97],"sequence.":[23],"current":[25],"approach":[26],"for":[27,67],"SR":[28,68],"focuses":[29],"only":[30],"mining":[32],"user\u2019s":[34],"interest":[35,77,132,152],"preferences,":[36],"while":[37],"they":[38],"all":[39,96],"fail":[40],"consider":[42],"influence":[44],"item":[46,101,104],"prices":[47],"users\u2019":[49,76,128],"purchase":[50],"decisions":[51],"and":[52,79,82,99,106,123,131,151,155],"suffer":[53],"from":[54,95],"data":[56],"sparsity":[57,85],"problem.":[58],"In":[59],"this":[60],"paper,":[61],"Multi-channel":[63],"Contrastive":[64],"Learning":[65],"method":[66],"(MCLSR)":[69],"proposed,":[71],"which":[72],"can":[73],"effectively":[74],"extract":[75],"preferences":[78,81,130,133],"price":[80,105,124,129,150],"alleviate":[83],"issues.":[86],"Specifically,":[87],"first,":[88],"heterogeneous":[90,114],"knowledge":[91],"graph":[92,115],"constructed":[94],"sequence":[98],"attribute":[102],"(i.e.,":[103],"category)":[107],"by":[108,136],"us.":[109],"Then,":[110],"we":[111],"leverage":[112],"neural":[116],"network":[117],"mechanism":[118,145],"learn":[120],"user,":[121],"item,":[122],"node":[125],"embeddings.":[126],"Next,":[127],"are":[134],"extracted":[135],"an":[137],"attention":[138],"network.":[139],"Finally,":[140],"multi-channel":[142],"contrastive":[143],"learning":[144],"employed":[147],"build":[149],"preferences\u2019":[153],"relations":[154],"generate":[156],"high-quality":[157],"recommendation":[158],"results.":[159],"Experiments":[160],"both":[162],"real":[163],"datasets":[164],"show":[165],"MCLSR":[167],"obtains":[168],"more":[169],"sophisticated":[170],"performance":[171],"than":[172],"existing":[174],"baseline.":[175]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}