{"id":"https://openalex.org/W4367046887","doi":"https://doi.org/10.1145/3543507.3583490","title":"Constrained Subset Selection from Data Streams for Profit Maximization","display_name":"Constrained Subset Selection from Data Streams for Profit Maximization","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046887","doi":"https://doi.org/10.1145/3543507.3583490"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583490","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583490","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 Web Conference 2023","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/A5043822784","display_name":"Shuang Cui","orcid":"https://orcid.org/0000-0001-6080-4850"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Cui","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084367706","display_name":"Kai Han","orcid":"https://orcid.org/0000-0002-6302-5366"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Han","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077270486","display_name":"Jing Tang","orcid":"https://orcid.org/0000-0002-0785-707X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Tang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101998852","display_name":"He Huang","orcid":"https://orcid.org/0000-0003-2768-6607"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043822784"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.0169,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86799909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1822","last_page":"1831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9984999895095825,"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":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8023033142089844},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.7729206085205078},{"id":"https://openalex.org/keywords/profit-maximization","display_name":"Profit maximization","score":0.6447405815124512},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5910738110542297},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5261121392250061},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4993143081665039},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.4738222360610962},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4696808457374573},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4681302309036255},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4632936716079712},{"id":"https://openalex.org/keywords/streaming-algorithm","display_name":"Streaming algorithm","score":0.4468808174133301},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4373264014720917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4314314126968384},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4167748689651489},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35543113946914673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3077999949455261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21849346160888672},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.13015654683113098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023033142089844},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.7729206085205078},{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.6447405815124512},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5910738110542297},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5261121392250061},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4993143081665039},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.4738222360610962},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4696808457374573},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4681302309036255},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4632936716079712},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.4468808174133301},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4373264014720917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4314314126968384},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4167748689651489},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35543113946914673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3077999949455261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21849346160888672},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.13015654683113098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3543507.3583490","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583490","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 Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-127368","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-127368","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5067115037","display_name":null,"funder_award_id":"62172384, U20A20182, U22B2060","funder_id":"https://openalex.org/F4320334062","funder_display_name":"National Natural Science Foundation of China-Liaoning Joint Fund"}],"funders":[{"id":"https://openalex.org/F4320334062","display_name":"National Natural Science Foundation of China-Liaoning Joint Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W112063162","https://openalex.org/W118259468","https://openalex.org/W398859631","https://openalex.org/W1578891227","https://openalex.org/W1997959284","https://openalex.org/W2061820396","https://openalex.org/W2090167811","https://openalex.org/W2145825677","https://openalex.org/W2540677289","https://openalex.org/W2604961496","https://openalex.org/W2778890450","https://openalex.org/W2964285086","https://openalex.org/W3012895300","https://openalex.org/W3049105815","https://openalex.org/W3099332292","https://openalex.org/W3130088724","https://openalex.org/W3134887725","https://openalex.org/W3138381145","https://openalex.org/W3172805627","https://openalex.org/W3175985532","https://openalex.org/W4205825502","https://openalex.org/W4251076636"],"related_works":["https://openalex.org/W2963443186","https://openalex.org/W4389449520","https://openalex.org/W4382197677","https://openalex.org/W127192698","https://openalex.org/W3128830699","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2743735673","https://openalex.org/W4361801939","https://openalex.org/W1965972569"],"abstract_inverted_index":{"The":[0,84],"problem":[1,35],"of":[2,87,110,115],"constrained":[3],"subset":[4],"selection":[5],"from":[6],"a":[7,34,41,53,78],"large":[8],"data":[9,19,98],"stream":[10],"for":[11],"profit":[12],"maximization":[13],"has":[14],"many":[15],"applications":[16,95],"in":[17,61,93,113],"web":[18,97],"mining":[20,99],"and":[21,30,100,103,118],"machine":[22],"learning,":[23],"such":[24],"as":[25,39],"social":[26],"advertising,":[27],"team":[28],"formation":[29],"recommendation":[31,101],"systems.":[32],"Such":[33],"can":[36],"be":[37],"formulated":[38],"maximizing":[40],"regularized":[42],"submodular":[43],"function":[44],"under":[45],"certain":[46],"constraints.":[47],"In":[48],"this":[49,65],"paper,":[50],"we":[51,67],"consider":[52],"generalized":[54],"k-system":[55],"constraint,":[56],"which":[57],"captures":[58],"various":[59],"requirements":[60],"real-world":[62],"applications.":[63],"For":[64],"problem,":[66],"propose":[68],"the":[69,104,108],"first":[70],"streaming":[71],"algorithm":[72,89,112],"with":[73],"provable":[74],"performance":[75,86],"bounds,":[76],"leveraging":[77],"novel":[79],"multitudinous":[80],"distorted":[81],"filter":[82],"framework.":[83],"empirical":[85],"our":[88,111],"is":[90],"extensively":[91],"evaluated":[92],"several":[94],"including":[96],"systems,":[102],"experimental":[105],"results":[106],"demonstrate":[107],"superiorities":[109],"terms":[114],"both":[116],"effectiveness":[117],"efficiency.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}