{"id":"https://openalex.org/W4412876819","doi":"https://doi.org/10.1145/3711896.3736927","title":"Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering","display_name":"Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412876819","doi":"https://doi.org/10.1145/3711896.3736927"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736927","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736927","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736927","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736927","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083055398","display_name":"Zhongjin Zhang","orcid":"https://orcid.org/0000-0002-6666-3224"},"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":"Zhongjin Zhang","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0000-9789-0967","affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103434016","display_name":"Yu Liang","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":false,"raw_author_name":"Yu Liang","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0004-7159-2995","affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064982941","display_name":"C. D. Fu","orcid":"https://orcid.org/0000-0002-3624-6665"},"institutions":[{"id":"https://openalex.org/I4210109595","display_name":"Scope Group (United States)","ror":"https://ror.org/0220z0193","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109595"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Fu","raw_affiliation_strings":["Shopee Pte. Ltd, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3624-6665","affiliations":[{"raw_affiliation_string":"Shopee Pte. Ltd, Singapore, Singapore","institution_ids":["https://openalex.org/I4210109595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499880","display_name":"Yuxuan Zhu","orcid":"https://orcid.org/0000-0003-1831-9688"},"institutions":[{"id":"https://openalex.org/I4210109595","display_name":"Scope Group (United States)","ror":"https://ror.org/0220z0193","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109595"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhu","raw_affiliation_strings":["Shopee Pte. Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1831-9688","affiliations":[{"raw_affiliation_string":"Shopee Pte. Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210109595"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kun Wang","orcid":"https://orcid.org/0009-0009-3950-8809"},"institutions":[{"id":"https://openalex.org/I4210109595","display_name":"Scope Group (United States)","ror":"https://ror.org/0220z0193","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109595"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Shopee Pte. Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-3950-8809","affiliations":[{"raw_affiliation_string":"Shopee Pte. Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210109595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023410560","display_name":"Yabo Ni","orcid":"https://orcid.org/0000-0002-7535-8125"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yabo Ni","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7535-8125","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076875538","display_name":"Anxiang Zeng","orcid":"https://orcid.org/0000-0003-3869-5357"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anxiang Zeng","raw_affiliation_strings":["SCSE, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3869-5357","affiliations":[{"raw_affiliation_string":"SCSE, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079986783","display_name":"Jiazhi Xia","orcid":"https://orcid.org/0000-0003-4629-6268"},"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":"Jiazhi Xia","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4629-6268","affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9246,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84886658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3921","last_page":"3932"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940999746322632,"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/T11106","display_name":"Data Management and Algorithms","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.663734495639801},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6458902359008789},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5704257488250732},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5606532096862793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5088024735450745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2079554796218872},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17769378423690796},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.16205599904060364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09702533483505249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663734495639801},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6458902359008789},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5704257488250732},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5606532096862793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5088024735450745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2079554796218872},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17769378423690796},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.16205599904060364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09702533483505249},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736927","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736927","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736927","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736927","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736927","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736927","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2042553169","display_name":null,"funder_award_id":"62372471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8542469331","display_name":null,"funder_award_id":"2023JJ10080","funder_id":"https://openalex.org/F4320330356","funder_display_name":"Distinguished Young Scholar Foundation of Hunan Province"},{"id":"https://openalex.org/G921486363","display_name":null,"funder_award_id":"U23A20313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330356","display_name":"Distinguished Young Scholar Foundation of Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412876819.pdf","grobid_xml":"https://content.openalex.org/works/W4412876819.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W214995755","https://openalex.org/W1583837637","https://openalex.org/W1971460272","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2090836891","https://openalex.org/W2091158010","https://openalex.org/W2108862644","https://openalex.org/W2115584760","https://openalex.org/W2124509324","https://openalex.org/W2125442594","https://openalex.org/W2134584261","https://openalex.org/W2136189984","https://openalex.org/W2143331230","https://openalex.org/W2156455250","https://openalex.org/W2509893387","https://openalex.org/W2512971201","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2783625345","https://openalex.org/W2808787330","https://openalex.org/W2912083425","https://openalex.org/W2914304175","https://openalex.org/W2963284996","https://openalex.org/W2963469388","https://openalex.org/W2972801466","https://openalex.org/W3036320503","https://openalex.org/W3087931390","https://openalex.org/W3094431459","https://openalex.org/W3098468692","https://openalex.org/W3119267769","https://openalex.org/W3136183693","https://openalex.org/W3152880264","https://openalex.org/W3187615801","https://openalex.org/W4223591050","https://openalex.org/W4292419518","https://openalex.org/W4297971002","https://openalex.org/W4302323562","https://openalex.org/W4385282334","https://openalex.org/W4385568035","https://openalex.org/W4386729349","https://openalex.org/W4387311382","https://openalex.org/W4392499463","https://openalex.org/W4401863381","https://openalex.org/W4403219679","https://openalex.org/W6601548533","https://openalex.org/W6637845249"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642"],"abstract_inverted_index":{"Embedding-based":[0],"collaborative":[1],"filtering,":[2],"often":[3],"coupled":[4],"with":[5,110,190],"nearest":[6],"neighbor":[7],"search,":[8],"is":[9,84,116],"widely":[10],"deployed":[11],"in":[12,125,130,133,215],"large-scale":[13],"recommender":[14],"systems":[15,21],"for":[16],"personalized":[17],"content":[18],"selection.":[19],"Modern":[20],"leverage":[22],"multiple":[23,150],"implicit":[24],"feedback":[25,60,104],"signals":[26],"(e.g.,":[27,105],"clicks,":[28],"add":[29],"to":[30,33,49,77],"cart,":[31],"purchases)":[32],"model":[34],"user":[35,55,178],"preferences":[36],"comprehensively.":[37],"However,":[38,95],"prevailing":[39],"approaches":[40],"adopt":[41],"a":[42,154,165,187],"feedback-wise":[43],"modeling":[44],"paradigm,":[45],"which":[46,89,148],"(1)":[47],"fails":[48],"capture":[50],"the":[51,175,182],"structured":[52,156],"progression":[53,176],"of":[54,177],"engagement":[56],"entailed":[57],"among":[58],"different":[59],"and":[61,75,108,118,159,180,217],"(2)":[62],"embeds":[63],"feedback-specific":[64,161],"information":[65],"into":[66,153],"disjoint":[67,197],"spaces,":[68],"making":[69],"representations":[70],"incommensurable,":[71],"increasing":[72],"system":[73],"complexity,":[74],"leading":[76],"suboptimal":[78,131],"retrieval":[79,183],"performance.":[80],"A":[81],"promising":[82],"alternative":[83],"Ordinal":[85,144],"Logistic":[86,145],"Regression":[87,146],"(OLR),":[88],"explicitly":[90],"models":[91,99],"discrete":[92],"ordered":[93],"relations.":[94],"existing":[96,191],"OLR-based":[97],"recommendation":[98],"mainly":[100],"focus":[101],"on":[102,204],"explicit":[103],"movie":[106],"ratings)":[107],"struggle":[109],"implicit,":[111],"correlated":[112],"feedback,":[113],"where":[114],"ordering":[115],"vague":[117],"non-linear.":[119],"Moreover,":[120],"standard":[121],"OLR":[122],"lacks":[123],"flexibility":[124],"handling":[126],"feedback-dependent":[127],"covariates,":[128],"resulting":[129],"performance":[132],"real-world":[134,206],"systems.":[135],"To":[136],"address":[137],"these":[138],"limitations,":[139],"we":[140],"propose":[141],"Generalized":[142],"Neural":[143],"(GNOLR),":[147],"encodes":[149],"feature-feedback":[151],"dependencies":[152],"unified,":[155],"embedding":[157],"space":[158],"enforces":[160],"dependency":[162],"learning":[163],"through":[164],"nested":[166],"optimization":[167],"framework.":[168],"Thus,":[169],"GNOLR":[170,195,210],"enhances":[171],"predictive":[172],"accuracy,":[173],"captures":[174],"engagement,":[179],"simplifies":[181],"process.":[184],"We":[185],"establish":[186],"theoretical":[188],"comparison":[189],"paradigms,":[192],"demonstrating":[193],"how":[194],"avoids":[196],"spaces":[198],"while":[199],"maintaining":[200],"effectiveness.":[201],"Extensive":[202],"experiments":[203],"ten":[205],"datasets":[207],"show":[208],"that":[209],"significantly":[211],"outperforms":[212],"state-of-the-art":[213],"methods":[214],"efficiency":[216],"adaptability.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
