{"id":"https://openalex.org/W7135134361","doi":"https://doi.org/10.1109/clei67442.2025.11420500","title":"A bi-objective approach to the composite retrieval problem using NSGA-II algorithm","display_name":"A bi-objective approach to the composite retrieval problem using NSGA-II algorithm","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7135134361","doi":"https://doi.org/10.1109/clei67442.2025.11420500"},"language":null,"primary_location":{"id":"doi:10.1109/clei67442.2025.11420500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei67442.2025.11420500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 LI Latin American Computer Conference (CLEI)","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/A5128828462","display_name":"Maximiliano Beltran-Villaroel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maximiliano Beltran-Villaroel","raw_affiliation_strings":["Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120699440","display_name":"Sebastian Mu\u00f1oz-Bustos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Mu\u00f1oz-Bustos","raw_affiliation_strings":["Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119724407","display_name":"Nicolle Ojeda-Ortega","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolle Ojeda-Ortega","raw_affiliation_strings":["Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065934297","display_name":"Mauricio Moyano","orcid":"https://orcid.org/0000-0003-0342-8267"},"institutions":[{"id":"https://openalex.org/I2802166871","display_name":"Universidad Cat\u00f3lica del Norte","ror":"https://ror.org/02akpm128","country_code":"CL","type":"education","lineage":["https://openalex.org/I2802166871"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Mauricio Moyano","raw_affiliation_strings":["Universidad Católica del Norte,Departamento de Ingeniería Industrial,Antofagasta,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Católica del Norte,Departamento de Ingeniería Industrial,Antofagasta,Chile","institution_ids":["https://openalex.org/I2802166871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103801814","display_name":"Guillermo G. Cabrera-Guerrero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guillermo Cabrera-Guerrero","raw_affiliation_strings":["Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Católica de Valparaíso,Escuela de Ingeniería Informática,Valparaíso,Chile","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81722261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.8151999711990356,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.8151999711990356,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.03610000014305115,"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":0.015799999237060547,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5432000160217285},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4729999899864197},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.42649999260902405},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42080000042915344},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41620001196861267},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.3919000029563904},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.387800008058548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346000075340271},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.477400004863739},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4729999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4334000051021576},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42080000042915344},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41620001196861267},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.3919000029563904},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3215000033378601},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei67442.2025.11420500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei67442.2025.11420500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 LI Latin American Computer Conference (CLEI)","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"information":[1],"retrieval":[2],"systems":[3],"typically":[4],"rely":[5],"on":[6],"a":[7,25,85,110,124],"single":[8],"attribute":[9],"to":[10,30,34,52,63],"rank":[11],"items,":[12],"often":[13],"neglecting":[14],"the":[15,42,90,97,113,117,121],"complex":[16],"relationships":[17],"that":[18,94],"may":[19],"exist":[20],"among":[21],"item":[22],"attributes.":[23],"As":[24],"result,":[26],"users":[27],"frequently":[28],"need":[29],"refine":[31],"their":[32],"queries":[33],"obtain":[35],"relevant":[36],"results.":[37],"To":[38,104],"address":[39],"this":[40,106],"limitation,":[41],"Composite":[43,91],"Retrieval":[44,92],"(CR)":[45],"framework":[46],"has":[47],"been":[48],"proposed,":[49],"which":[50],"aims":[51],"construct":[53],"diverse":[54],"and":[55,102],"complementary":[56],"bundles":[57],"of":[58,112,123,126],"items.":[59],"The":[60],"goal":[61],"is":[62],"maximise":[64],"intra-bundle":[65],"similarity":[66],"while":[67],"simultaneously":[68],"enhancing":[69],"inter-bundle":[70],"complementarity,":[71],"thereby":[72],"providing":[73],"more":[74],"meaningful":[75],"results":[76],"without":[77],"requiring":[78],"further":[79],"user":[80],"intervention.":[81],"This":[82],"work":[83],"introduces":[84],"novel":[86],"bi-objective":[87],"formulation":[88],"for":[89],"Problem":[93],"explicitly":[95],"models":[96],"trade-off":[98],"between":[99],"bundle":[100],"cohesion":[101],"diversity.":[103],"solve":[105],"problem,":[107],"we":[108],"implement":[109],"variant":[111],"NSGA-II":[114],"algorithm":[115],"using":[116],"jMetal":[118],"framework,":[119],"enabling":[120],"generation":[122],"set":[125],"Pareto-optimal":[127],"solutions.":[128]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-13T00:00:00"}