{"id":"https://openalex.org/W4386729350","doi":"https://doi.org/10.1145/3604915.3608779","title":"STRec: Sparse Transformer for Sequential Recommendations","display_name":"STRec: Sparse Transformer for Sequential Recommendations","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386729350","doi":"https://doi.org/10.1145/3604915.3608779"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608779","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","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/A5070604363","display_name":"C. Li","orcid":"https://orcid.org/0009-0009-7754-9783"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chengxi Li","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0009-7754-9783","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062469929","display_name":"Yejing Wang","orcid":"https://orcid.org/0000-0003-2852-9910"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["HK","US"],"is_corresponding":false,"raw_author_name":"Yejing Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong","Michigan State University, USA"],"raw_orcid":"https://orcid.org/0000-0003-2852-9910","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Michigan State University, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027253238","display_name":"Qidong Liu","orcid":"https://orcid.org/0000-0002-0751-2602"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"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","HK"],"is_corresponding":false,"raw_author_name":"Qidong Liu","raw_affiliation_strings":["The Faculty of Electronic Information, Xi'an Jiaotong University, City University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0751-2602","affiliations":[{"raw_affiliation_string":"The Faculty of Electronic Information, Xi'an Jiaotong University, City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2926-4416","affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059573675","display_name":"Wanyu Wang","orcid":"https://orcid.org/0000-0001-5976-0707"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5976-0707","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061701176","display_name":"Yiqi Wang","orcid":"https://orcid.org/0000-0001-9594-1919"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["HK","US"],"is_corresponding":false,"raw_author_name":"Yiqi Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong","Michigan State University, USA"],"raw_orcid":"https://orcid.org/0000-0001-9594-1919","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Michigan State University, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089307887","display_name":"Lixin Zou","orcid":"https://orcid.org/0000-0001-6755-871X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Zou","raw_affiliation_strings":["Wuhan University, China"],"raw_orcid":"https://orcid.org/0000-0001-6755-871X","affiliations":[{"raw_affiliation_string":"Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043696243","display_name":"Wenqi Fan","orcid":"https://orcid.org/0000-0002-4049-1233"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenqi Fan","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4049-1233","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5070604363"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":16.5413,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.99123024,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9779000282287598,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9732000231742859,"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":0.8151876926422119},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7613520622253418},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7087390422821045},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6467151641845703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4761526584625244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46776503324508667},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.43970364332199097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1537168025970459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151876926422119},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7613520622253418},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7087390422821045},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6467151641845703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4761526584625244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46776503324508667},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.43970364332199097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1537168025970459},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604915.3608779","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7271486925","display_name":null,"funder_award_id":"9360163","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G8226490486","display_name":null,"funder_award_id":"9360163","funder_id":"https://openalex.org/F4320334123","funder_display_name":"Hong Kong Institute for Data Science"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320319065","display_name":"Aromatic Plant Research Center","ror":"https://ror.org/05eebgw43"},{"id":"https://openalex.org/F4320334123","display_name":"Hong Kong Institute for Data Science","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2136189984","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2469952266","https://openalex.org/W2945772520","https://openalex.org/W2962745591","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2966483207","https://openalex.org/W2973171206","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3032044946","https://openalex.org/W3065542300","https://openalex.org/W3085139254","https://openalex.org/W3093519337","https://openalex.org/W3100260481","https://openalex.org/W3105595718","https://openalex.org/W3106252282","https://openalex.org/W3153293286","https://openalex.org/W3173539742","https://openalex.org/W3177318507","https://openalex.org/W3208227120","https://openalex.org/W3212890323","https://openalex.org/W4212804458","https://openalex.org/W4220894606","https://openalex.org/W4224227049","https://openalex.org/W4285602653","https://openalex.org/W4287704453","https://openalex.org/W4290874950","https://openalex.org/W4306317051","https://openalex.org/W4306317444","https://openalex.org/W4324311885","https://openalex.org/W4353115442","https://openalex.org/W4360979021","https://openalex.org/W4367046946","https://openalex.org/W4367047350","https://openalex.org/W6781533629"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W4206178588","https://openalex.org/W3094491777","https://openalex.org/W3214715529","https://openalex.org/W4287635093"],"abstract_inverted_index":{"With":[0,49],"the":[1,36,42,57,72,91,104,108,136,142,163],"rapid":[2],"evolution":[3],"of":[4,138,165],"transformer":[5],"architectures,":[6],"researchers":[7],"are":[8],"exploring":[9],"their":[10],"application":[11],"in":[12,76],"sequential":[13,85],"recommender":[14],"systems":[15],"(SRSs)":[16],"and":[17,60,65,80,94,150],"presenting":[18],"promising":[19],"performance":[20,59],"on":[21,107,129],"SRS":[22,27,33,78],"tasks":[23,87],"compared":[24],"with":[25,101],"former":[26],"models.":[28],"However,":[29],"most":[30,109],"existing":[31],"transformer-based":[32,77],"frameworks":[34],"retain":[35],"vanilla":[37],"attention":[38,43,74],"mechanism,":[39],"which":[40,140],"calculates":[41],"scores":[44],"between":[45],"all":[46],"item-item":[47],"pairs.":[48],"this":[50,68],"setting,":[51],"redundant":[52],"item":[53,111],"interactions":[54],"can":[55],"harm":[56],"model":[58,105],"consume":[61],"much":[62],"computation":[63,93],"time":[64,149],"memory.":[66],"In":[67],"paper,":[69],"we":[70,98,118],"identify":[71],"sparse":[73],"phenomenon":[75],"models":[79],"propose":[81],"Sparse":[82],"Transformer":[83],"for":[84],"Recommendation":[86],"(STRec)":[88],"to":[89,124,160],"achieve":[90],"efficient":[92],"improved":[95],"performance.":[96],"Specifically,":[97],"replace":[99],"self-attention":[100],"cross-attention,":[102],"making":[103],"concentrate":[106],"relevant":[110,126],"interactions.":[112],"To":[113],"determine":[114],"these":[115],"necessary":[116],"interactions,":[117],"design":[119],"a":[120],"novel":[121],"sampling":[122],"strategy":[123],"detect":[125],"items":[127],"based":[128],"temporal":[130],"information.":[131],"Extensive":[132],"experimental":[133],"results":[134],"validate":[135],"effectiveness":[137],"STRec,":[139],"achieves":[141],"state-of-the-art":[143],"accuracy":[144],"while":[145],"reducing":[146],"54%":[147],"inference":[148],"70%":[151],"memory":[152],"cost.":[153],"We":[154],"also":[155],"provide":[156],"massive":[157],"extended":[158],"experiments":[159],"further":[161],"investigate":[162],"property":[164],"our":[166],"framework.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
