{"id":"https://openalex.org/W4388184811","doi":"https://doi.org/10.48550/arxiv.2310.20453","title":"Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion","display_name":"Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388184811","doi":"https://doi.org/10.48550/arxiv.2310.20453"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2310.20453","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.20453","pdf_url":"https://arxiv.org/pdf/2310.20453","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.20453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019383391","display_name":"Zhengyi Yang","orcid":"https://orcid.org/0000-0003-1772-6863"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Zhengyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075695432","display_name":"Jiancan Wu","orcid":"https://orcid.org/0000-0002-6941-5218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jiancan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102971294","display_name":"Zhicai Wang","orcid":"https://orcid.org/0000-0002-3582-7935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhicai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590289","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0001-5433-9905"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004833182","display_name":"Yancheng Yuan","orcid":"https://orcid.org/0000-0002-8243-4683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Yancheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Xiangnan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019383391"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9284999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.762302041053772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7574789524078369},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5609365105628967},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5385947823524475},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5181238055229187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5147836208343506},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47728219628334045},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4139208197593689},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4118120074272156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36924469470977783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3464592695236206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09686049818992615}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.762302041053772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574789524078369},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5609365105628967},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5385947823524475},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5181238055229187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5147836208343506},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47728219628334045},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4139208197593689},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4118120074272156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36924469470977783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3464592695236206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09686049818992615},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2310.20453","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.20453","pdf_url":"https://arxiv.org/pdf/2310.20453","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2310.20453","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.20453","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.20453","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.20453","pdf_url":"https://arxiv.org/pdf/2310.20453","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388184811.pdf"},"referenced_works_count":0,"referenced_works":[],"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/W1657011257","https://openalex.org/W4236298560","https://openalex.org/W4322508012","https://openalex.org/W3123407378","https://openalex.org/W4236362086"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,143],"aims":[2],"to":[3,44,50,169,197,204],"recommend":[4],"the":[5,15,53,94,98,103,116,120,125,129,138,177,185,190,199,211,215,220],"next":[6],"item":[7,86,127,181,196],"that":[8,79],"matches":[9],"a":[10,29,35,38,80,145,152,159,166],"user's":[11],"interest,":[12],"based":[13,59],"on":[14,60],"sequence":[16,132,160],"of":[17,161,180,187,214,222],"items":[18,47,92,175],"he/she":[19],"interacted":[20],"with":[21,106,184,229],"before.":[22],"Scrutinizing":[23],"previous":[24],"studies,":[25],"we":[26,67,140],"can":[27],"summarize":[28],"common":[30],"learning-to-classify":[31],"paradigm":[32],"--":[33],"given":[34],"positive":[36,200],"item,":[37,201],"recommender":[39],"model":[40],"performs":[41],"negative":[42,46,112,207],"sampling":[43,208],"add":[45],"and":[48,89,96,209,227,233],"learns":[49],"classify":[51],"whether":[52],"user":[54,81,216],"prefers":[55],"them":[56],"or":[57,108],"not,":[58],"his/her":[61],"historical":[62,130,162,188],"interaction":[63,131],"sequence.":[64],"Although":[65],"effective,":[66],"reveal":[68],"two":[69],"inherent":[70],"limitations:(1)":[71],"it":[72,164],"may":[73],"differ":[74],"from":[75,111,128],"human":[76],"behavior":[77],"in":[78,87,102],"could":[82],"imagine":[83],"an":[84,194],"oracle":[85,121,126,195],"mind":[88],"select":[90],"potential":[91],"matching":[93],"oracle;":[95],"(2)":[97],"classification":[99],"is":[100,133,149],"limited":[101],"candidate":[104],"pool":[105],"noisy":[107],"easy":[109],"supervision":[110],"samples,":[113],"which":[114,148],"dilutes":[115],"preference":[117,213],"signals":[118],"towards":[119],"item.":[122],"Yet,":[123],"generating":[124],"mostly":[134],"unexplored.":[135],"To":[136],"bridge":[137],"gap,":[139],"reshape":[141],"sequential":[142],"as":[144,203],"learning-to-generate":[146],"paradigm,":[147],"achieved":[150],"via":[151],"guided":[153],"diffusion":[154],"model,":[155],"termed":[156],"DreamRec.Specifically,":[157],"for":[158],"items,":[163],"applies":[165],"Transformer":[167],"encoder":[168],"create":[170],"guidance":[171,186],"representations.":[172],"Noising":[173],"target":[174],"explores":[176],"underlying":[178],"distribution":[179],"space;":[182],"then,":[183],"interactions,":[189],"denoising":[191],"process":[192],"generates":[193],"recover":[198],"so":[202],"cast":[205],"off":[206],"depict":[210],"true":[212],"directly.":[217],"We":[218],"evaluate":[219],"effectiveness":[221],"DreamRec":[223],"through":[224],"extensive":[225],"experiments":[226],"comparisons":[228],"existing":[230],"methods.":[231],"Codes":[232],"data":[234],"are":[235],"open-sourced":[236],"at":[237],"https://github.com/YangZhengyi98/DreamRec.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
