{"id":"https://openalex.org/W2827607445","doi":"https://doi.org/10.1145/3234944.3234958","title":"A Formal Account of Effectiveness Evaluation and Ranking Fusion","display_name":"A Formal Account of Effectiveness Evaluation and Ranking Fusion","publication_year":2018,"publication_date":"2018-09-10","ids":{"openalex":"https://openalex.org/W2827607445","doi":"https://doi.org/10.1145/3234944.3234958","mag":"2827607445"},"language":"en","primary_location":{"id":"doi:10.1145/3234944.3234958","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3234944.3234958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.04317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Enrique Amig\u00f3","orcid":null},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"National University of Distance Education","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Enrique Amig\u00f3","raw_affiliation_strings":["UNED NLP & IR Group, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"UNED NLP & IR Group, Madrid, Spain","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fernando Giner","orcid":null},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"National University of Distance Education","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Giner","raw_affiliation_strings":["UNED NLP & IR Group, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"UNED NLP & IR Group, Madrid, Spain","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stefano Mizzaro","orcid":null},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Mizzaro","raw_affiliation_strings":["University of Udine, Udine, Italy"],"affiliations":[{"raw_affiliation_string":"University of Udine, Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"last","author":{"id":null,"display_name":"Damiano Spina","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Damiano Spina","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178450904"],"apc_list":null,"apc_paid":null,"fwci":0.8212,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80985288,"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":"123","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994000196456909,"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":0.9994000196456909,"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/T11719","display_name":"Data Quality and Management","score":0.9955000281333923,"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/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7476999759674072},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6428999900817871},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5045999884605408},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4535999894142151},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.4178999960422516},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.36500000953674316},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.33970001339912415}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7476999759674072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926000118255615},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6428999900817871},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5379999876022339},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5045999884605408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5008000135421753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4729999899864197},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35109999775886536},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C45983554","wikidata":"https://www.wikidata.org/wiki/Q3412851","display_name":"Information quality","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3234944.3234958","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3234944.3234958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1807.04317","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.04317","pdf_url":"https://arxiv.org/pdf/1807.04317","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:air.uniud.it:11390/1140105","is_oa":false,"landing_page_url":"http://hdl.handle.net/11390/1140105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"internazionale"},{"id":"pmh:oai:alma.61RMIT_INST:11248164400001341","is_oa":false,"landing_page_url":"http://doi.org/10.1145/3234944.3234958","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1807.04317","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.04317","pdf_url":"https://arxiv.org/pdf/1807.04317","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1968927634","https://openalex.org/W1983595289","https://openalex.org/W1986289464","https://openalex.org/W1991650749","https://openalex.org/W1995875735","https://openalex.org/W1997603580","https://openalex.org/W2007671364","https://openalex.org/W2017687874","https://openalex.org/W2038324731","https://openalex.org/W2051442094","https://openalex.org/W2063853488","https://openalex.org/W2065702061","https://openalex.org/W2069870183","https://openalex.org/W2082055394","https://openalex.org/W2084044465","https://openalex.org/W2096781379","https://openalex.org/W2104679989","https://openalex.org/W2113640060","https://openalex.org/W2135293965","https://openalex.org/W2146081744","https://openalex.org/W2152096275","https://openalex.org/W2513946593","https://openalex.org/W2539107637","https://openalex.org/W2604920557","https://openalex.org/W4300410021"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,49],"theoretical":[4,90],"framework":[5,21],"which":[6],"models":[7],"the":[8,51,78,87,93],"information":[9,30,45],"provided":[10],"by":[11],"retrieval":[12,102],"systems":[13],"in":[14,58,105],"terms":[15,59],"of":[16,60,89,92,97],"Information":[17],"Theory.":[18],"The":[19],"proposed":[20,52],"allows":[22],"to":[23],"formalize:":[24],"(i)":[25],"system":[26,34,103],"effectiveness":[27,53,98],"as":[28,43],"an":[29,44,106],"theoretic":[31],"similarity":[32],"between":[33],"outputs":[35,104],"and":[36,39],"human":[37],"assessments,":[38],"(ii)":[40],"ranking":[41],"fusion":[42],"quantity":[46],"measure.":[47],"As":[48],"result,":[50],"metric":[54],"improves":[55],"popular":[56],"metrics":[57],"formal":[61],"constraints.":[62],"In":[63],"addition,":[64],"our":[65],"empirical":[66],"experiments":[67],"suggest":[68],"that":[69],"it":[70],"captures":[71],"quality":[72],"aspects":[73],"from":[74],"traditional":[75],"metrics,":[76],"while":[77],"reverse":[79],"is":[80],"not":[81],"true.":[82],"Our":[83],"work":[84],"also":[85],"advances":[86],"understanding":[88],"foundations":[91],"empirically":[94],"known":[95],"phenomenon":[96],"increase":[99],"when":[100],"combining":[101],"unsupervised":[107],"manner.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2018-07-19T00:00:00"}