{"id":"https://openalex.org/W3198274307","doi":"https://doi.org/10.1145/3471158.3472248","title":"Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval","display_name":"Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3198274307","doi":"https://doi.org/10.1145/3471158.3472248","mag":"3198274307"},"language":"en","primary_location":{"id":"doi:10.1145/3471158.3472248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471158.3472248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval","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/A5016634390","display_name":"Soumyajit Gupta","orcid":"https://orcid.org/0000-0001-8145-9347"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soumyajit Gupta","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019155832","display_name":"Gurpreet Singh","orcid":"https://orcid.org/0000-0001-5571-9299"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gurpreet Singh","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075823509","display_name":"Anubrata Das","orcid":"https://orcid.org/0000-0002-5412-6149"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anubrata Das","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023397430","display_name":"Matthew Lease","orcid":"https://orcid.org/0000-0002-0056-2834"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Lease","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016634390"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1246742,"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":"43","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9955000281333923,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9902999997138977,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9832000136375427,"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/computer-science","display_name":"Computer science","score":0.6645469069480896},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6508767008781433},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6107047200202942},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5983582735061646},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5342478156089783},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.430853009223938},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4152612090110779},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4107821583747864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3485325276851654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3186023235321045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20101693272590637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18718475103378296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645469069480896},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6508767008781433},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6107047200202942},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5983582735061646},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5342478156089783},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.430853009223938},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4152612090110779},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4107821583747864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3485325276851654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3186023235321045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20101693272590637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18718475103378296},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3471158.3472248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471158.3472248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W417516028","https://openalex.org/W1498594556","https://openalex.org/W1506532431","https://openalex.org/W1969648546","https://openalex.org/W1970031898","https://openalex.org/W1989227105","https://openalex.org/W2011794233","https://openalex.org/W2016416448","https://openalex.org/W2024008934","https://openalex.org/W2036651495","https://openalex.org/W2055357779","https://openalex.org/W2132314908","https://openalex.org/W2137998396","https://openalex.org/W2546672582","https://openalex.org/W2559835786","https://openalex.org/W2749689103","https://openalex.org/W2883109957","https://openalex.org/W2898987658","https://openalex.org/W2942874577","https://openalex.org/W2967725375","https://openalex.org/W2972510393","https://openalex.org/W2975827734","https://openalex.org/W2986489112","https://openalex.org/W3020635127","https://openalex.org/W4247376563"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203","https://openalex.org/W1971520370"],"abstract_inverted_index":{"When":[0],"ranking":[1],"search":[2],"results":[3],"for":[4,121],"multiple":[5],"objectives,":[6],"such":[7],"as":[8],"maximizing":[9],"the":[10,53,65,70,123,149,160],"relevance":[11],"and":[12,86,93,99,108,129,136,145,173],"diversity":[13],"of":[14,23,80,110,113,125],"retrieved":[15],"documents,":[16],"competing":[17],"objectives":[18],"can":[19,139,163],"induce":[20],"a":[21,28,58,76],"space":[22,162],"optimal":[24,30,42],"solutions,":[25],"each":[26],"reflecting":[27],"different":[29,101,106],"trade-off":[31],"over":[32],"objectives.":[33],"This":[34],"raises":[35],"several":[36],"important":[37],"questions.":[38,151],"Firstly,":[39],"what":[40,51],"Pareto":[41,72,89,127],"solution":[43,161],"set":[44],"is":[45],"induced":[46],"by":[47],"objective":[48],"functions?":[49],"Secondly,":[50],"are":[52],"best":[54,66],"solutions":[55,68,92,111],"achievable":[56],"on":[57,159],"given":[59],"dataset?":[60],"Finally,":[61,152],"how":[62,98,131,155],"closely":[63],"do":[64],"dataset":[67],"approach":[69],"true":[71],"optimal?":[73],"We":[74,116],"present":[75],"clear":[77],"conceptual":[78],"framing":[79],"these":[81],"questions,":[82],"with":[83],"supporting":[84],"terminology":[85],"visualizations,":[87],"distinguishing":[88],"vs.":[90],"\"dataset-best\"":[91],"providing":[94],"strong":[95],"intuition":[96],"about":[97],"why":[100],"optimization":[102,114,134],"problems":[103,120,179],"lead":[104],"to":[105,142,148,176],"shapes":[107],"forms":[109],"(regardless":[112],"technique).":[115],"also":[117],"provide":[118,143,170],"benchmark":[119],"verifying":[122],"correctness":[124],"any":[126],"machinery":[128],"show":[130,154],"existing":[132],"multi-objective":[133],"(MOO)":[135],"filter":[137],"methods":[138],"be":[140,164],"used":[141],"accurate":[144],"interpretable":[146],"answers":[147],"above":[150],"we":[153,169],"user-defined":[156],"constraints":[157],"imposed":[158],"effectively":[165],"handled.":[166],"In":[167],"sum,":[168],"conceptual,":[171],"translational,":[172],"practical":[174],"contributions":[175],"solving":[177],"MOO":[178],"in":[180],"retrieval.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
