{"id":"https://openalex.org/W4306316948","doi":"https://doi.org/10.1145/3511808.3557130","title":"PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations","display_name":"PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306316948","doi":"https://doi.org/10.1145/3511808.3557130"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557130","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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/A5084597485","display_name":"Pengfei He","orcid":"https://orcid.org/0000-0001-8640-576X"},"institutions":[{"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":["US"],"is_corresponding":true,"raw_author_name":"Pengfei He","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070500491","display_name":"Haochen Liu","orcid":"https://orcid.org/0000-0002-2991-3642"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Haochen Liu","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"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":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387501","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-5519-148X"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084597485"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42367434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3152","last_page":"3161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994000196456909,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.996999979019165,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7334844470024109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451877951622009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2557135820388794}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7334844470024109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451877951622009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2557135820388794}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557130","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318300","display_name":"Snap","ror":"https://ror.org/054nr9p58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1979328769","https://openalex.org/W2028485238","https://openalex.org/W2039522160","https://openalex.org/W2054141820","https://openalex.org/W2112420033","https://openalex.org/W2125442594","https://openalex.org/W2152195021","https://openalex.org/W2512971201","https://openalex.org/W2541760237","https://openalex.org/W2603637586","https://openalex.org/W2913340405","https://openalex.org/W2921980263","https://openalex.org/W2963805801","https://openalex.org/W2972510393","https://openalex.org/W3034552531","https://openalex.org/W3087931390","https://openalex.org/W3093601757","https://openalex.org/W3154617266","https://openalex.org/W4210424113","https://openalex.org/W4253484285","https://openalex.org/W6836725202"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1575659177","https://openalex.org/W4290792893","https://openalex.org/W2029619274","https://openalex.org/W2004435960","https://openalex.org/W1603968847","https://openalex.org/W1501302278","https://openalex.org/W1812247352","https://openalex.org/W2909011011","https://openalex.org/W1253008510"],"abstract_inverted_index":{"Real-world":[0],"recommender":[1],"systems":[2],"usually":[3],"consist":[4],"of":[5,16,181],"two":[6,197],"phases.":[7],"Predictive":[8],"models":[9],"in":[10,60,72],"Phase":[11,22,61,73],"I":[12],"provide":[13],"accurate":[14,58],"predictions":[15,28,59],"users'":[17,45],"actions":[18],"on":[19,101,196],"items,":[20],"and":[21,48,132,138],"II":[23],"is":[24,54,64],"to":[25,31,37,56,67,107,142,159],"aggregate":[26],"the":[27,69,97,127,161,179,192],"withstrategic":[29],"parameters":[30,71,94,183],"make":[32],"final":[33],"recommendations,":[34],"which":[35,105],"aim":[36],"meet":[38],"multiple":[39],"business":[40],"goals,":[41],"such":[42],"as":[43,173],"maximizing":[44],"like":[46],"rate":[47],"average":[49],"engagement":[50],"time.":[51],"Though":[52],"it":[53,63],"important":[55],"generate":[57],"I,":[62],"also":[65],"crucial":[66],"optimize":[68],"strategic":[70,93,121,153,182],"II.":[74],"Conventional":[75],"solutions":[76,140],"include":[77],"manually":[78],"tunning,":[79],"Bayesian":[80],"optimization,":[81,85],"contextual":[82],"multi-armed":[83],"bandit":[84],"etc.":[86],"However,":[87],"these":[88],"methods":[89],"either":[90],"produce":[91],"universal":[92],"for":[95,120,184],"all":[96],"users":[98],"or":[99],"focus":[100],"a":[102,116,149,169],"deterministic":[103,137],"solution,":[104],"leads":[106],"an":[108,174],"undesirable":[109],"performance.":[110],"In":[111],"this":[112],"paper,":[113],"we":[114],"propose":[115],"personalized":[117,128],"probabilistic":[118,129],"solution":[119,135],"parameter":[122,154],"optimization.":[123],"We":[124,146,187],"first":[125],"formulate":[126],"optimizing":[130,155],"problem":[131],"compare":[133],"its":[134,144],"with":[136],"context-free":[139],"theoretically":[141],"show":[143,203],"superiority.":[145],"then":[147],"introduce":[148],"novel":[150],"Personalized":[151],"pRObabilistic":[152],"Policy":[156],"Network":[157],"(PROPN)":[158],"solve":[160],"problem.":[162],"PROPN":[163],"follows":[164],"reinforcement":[165],"learning":[166],"architecture":[167],"where":[168],"neural":[170],"network":[171],"serves":[172],"agent":[175],"that":[176,204],"dynamically":[177],"adjusts":[178],"distributions":[180],"each":[185],"user.":[186],"evaluate":[188],"our":[189,205],"model":[190],"under":[191],"streaming":[193],"recommendation":[194],"setting":[195],"public":[198],"real-world":[199],"datasets.":[200],"The":[201],"results":[202],"framework":[206],"outperforms":[207],"representative":[208],"baseline":[209],"methods.":[210]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
