{"id":"https://openalex.org/W4410088827","doi":"https://doi.org/10.1145/3696410.3714866","title":"Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism","display_name":"Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4410088827","doi":"https://doi.org/10.1145/3696410.3714866"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714866","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3696410.3714866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","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/A5108450788","display_name":"Jun Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yin","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114170392","display_name":"Zhengxin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxin Zeng","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078217346","display_name":"Mingzheng Li","orcid":"https://orcid.org/0000-0001-5615-9545"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzheng Li","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109298348","display_name":"Hao Yan","orcid":"https://orcid.org/0009-0007-7631-9375"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063693227","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-8179-7503"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022072215","display_name":"Weihao Han","orcid":"https://orcid.org/0000-0002-5533-6455"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihao Han","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055260255","display_name":"Jianjin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjin Zhang","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021949305","display_name":"Ruochen Liu","orcid":"https://orcid.org/0009-0000-6597-2044"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruochen Liu","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101539732","display_name":"Hao Sun","orcid":"https://orcid.org/0009-0004-5027-7478"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016794246","display_name":"Weiwei Deng","orcid":"https://orcid.org/0009-0001-4793-9715"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Deng","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103155713","display_name":"Feng Sun","orcid":"https://orcid.org/0009-0006-0834-0562"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Sun","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022403899","display_name":"Qi Zhang","orcid":"https://orcid.org/0009-0009-7438-7248"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Microsoft AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft AI, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["Griffith University, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035708362","display_name":"Senzhang Wang","orcid":"https://orcid.org/0000-0002-3615-4859"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senzhang Wang","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5108450788"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":6.5016,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95843176,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"227"},"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/T12384","display_name":"Customer churn and segmentation","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9686999917030334,"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/dual","display_name":"Dual (grammatical number)","score":0.7798702716827393},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.7129093408584595},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5951704382896423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877596139907837},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16528865694999695}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7798702716827393},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.7129093408584595},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5951704382896423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877596139907837},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16528865694999695},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714866","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3696410.3714866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1977182282","https://openalex.org/W2011015278","https://openalex.org/W2210543184","https://openalex.org/W2469952266","https://openalex.org/W2512971201","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2914393402","https://openalex.org/W2945827670","https://openalex.org/W2951645301","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W2966483207","https://openalex.org/W2981852735","https://openalex.org/W2984100107","https://openalex.org/W3065542300","https://openalex.org/W3100260481","https://openalex.org/W3100278010","https://openalex.org/W3101707147","https://openalex.org/W3156738579","https://openalex.org/W3200664681","https://openalex.org/W4220974940","https://openalex.org/W4287083215","https://openalex.org/W4288089799","https://openalex.org/W4290876361","https://openalex.org/W4290944002","https://openalex.org/W4296591867","https://openalex.org/W4297971002","https://openalex.org/W4313156423","https://openalex.org/W4321485796","https://openalex.org/W4367047145","https://openalex.org/W4376312036","https://openalex.org/W4385562487","https://openalex.org/W4386728933","https://openalex.org/W4392846385","https://openalex.org/W4396734745","https://openalex.org/W4400727150","https://openalex.org/W4400909953","https://openalex.org/W4401863538","https://openalex.org/W4403577940","https://openalex.org/W6600388300"],"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/W4396696052"],"abstract_inverted_index":{"Owing":[0],"to":[1,39,123,130,136,176],"the":[2,49,52,72,78,91,132,160,178,190],"unprecedented":[3],"capability":[4],"in":[5,19,200,204],"semantic":[6,43,153],"understanding":[7],"and":[8,45,106,165,202],"logical":[9],"reasoning,":[10],"large":[11],"language":[12],"models":[13],"(LLMs)":[14],"have":[15],"shown":[16],"fantastic":[17],"potential":[18],"developing":[20],"next-generation":[21],"sequential":[22,29,36,59,81,107,121],"recommender":[23,122],"systems":[24],"(RSs).":[25],"However,":[26],"existing":[27],"LLM-based":[28,58,80,120],"RSs":[30,60],"mostly":[31],"separate":[32],"index":[33,87,98,104],"generation":[34,105],"from":[35,61],"recommendation,":[37],"leading":[38],"insufficient":[40],"integration":[41],"between":[42],"information":[44,56],"collaborative":[46],"information.":[47,128],"On":[48],"other":[50],"hand,":[51],"neglect":[53],"of":[54,126,168,192,198],"user-related":[55,127],"hinders":[57],"exploiting":[62],"high-order":[63,179],"user-item":[64,180],"interaction":[65,181],"patterns.":[66,182],"In":[67],"this":[68],"paper,":[69],"we":[70,140],"propose":[71,141],"End-to-End":[73],"Dual":[74],"Dynamic":[75],"(ED2)":[76],"recommender,":[77],"first":[79],"RS":[82],"which":[83,146],"adopts":[84],"dual":[85,96,137],"dynamic":[86,97,138],"mechanism,":[88],"targeting":[89],"resolving":[90],"above":[92],"limitations":[93],"simultaneously.":[94],"The":[95],"mechanism":[99],"can":[100],"not":[101],"only":[102],"assembly":[103],"recommendation":[108],"into":[109],"a":[110,142,166],"unified":[111],"LLM-backbone":[112],"pipeline,":[113],"but":[114],"also":[115],"make":[116],"it":[117],"practical":[118],"for":[119],"take":[124],"advantage":[125],"Specifically,":[129],"facilitate":[131],"LLM":[133],"comprehension":[134],"ability":[135],"index,":[139],"multigrained":[143],"token":[144],"regulator":[145],"constructs":[147],"alignment":[148],"supervision":[149],"based":[150],"on":[151,185],"LLMs":[152],"knowledge":[154],"across":[155],"multiple":[156],"representation":[157],"granularities.":[158],"Moreover,":[159],"associated":[161],"user":[162],"collection":[163],"data":[164],"series":[167],"novel":[169],"instruction":[170],"tuning":[171],"tasks":[172],"are":[173],"specially":[174],"customized":[175],"capture":[177],"Extensive":[183],"experiments":[184],"three":[186],"public":[187],"datasets":[188],"demonstrate":[189],"superiority":[191],"ED2,":[193],"achieving":[194],"an":[195],"average":[196],"improvement":[197],"19.62%":[199],"Hit-Rate":[201],"21.11%":[203],"NDCG.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}