{"id":"https://openalex.org/W2153941542","doi":"https://doi.org/10.1145/1835449.1835506","title":"<i>DivQ</i>","display_name":"<i>DivQ</i>","publication_year":2010,"publication_date":"2010-07-19","ids":{"openalex":"https://openalex.org/W2153941542","doi":"https://doi.org/10.1145/1835449.1835506","mag":"2153941542"},"language":"en","primary_location":{"id":"doi:10.1145/1835449.1835506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835449.1835506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in 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/A5087621364","display_name":"Elena Demidova","orcid":"https://orcid.org/0000-0002-5134-9072"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Elena Demidova","raw_affiliation_strings":["L3S Research Center, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037943398","display_name":"P\u00e9ter Fankhauser","orcid":"https://orcid.org/0000-0001-7128-9188"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Fankhauser","raw_affiliation_strings":["L3S Research Center, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789719","display_name":"Xuan Zhou","orcid":"https://orcid.org/0000-0002-7160-9812"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuan Zhou","raw_affiliation_strings":["CSIRO ICT Centre, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO ICT Centre, Canberra, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074427964","display_name":"Wolfgang Nejdl","orcid":"https://orcid.org/0000-0003-3374-2193"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Nejdl","raw_affiliation_strings":["L3S Research Center, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087621364"],"corresponding_institution_ids":["https://openalex.org/I4210136150"],"apc_list":null,"apc_paid":null,"fwci":11.7998,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.9909869,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.8334085941314697},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7152968049049377},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6740936636924744},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6641687750816345},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6625359654426575},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5910851359367371},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5213212370872498},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4403587877750397},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4196814000606537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3974822163581848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.297199010848999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8334085941314697},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7152968049049377},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6740936636924744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6641687750816345},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6625359654426575},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5910851359367371},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5213212370872498},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4403587877750397},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4196814000606537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3974822163581848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.297199010848999},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1835449.1835506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835449.1835506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-263708","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-263708.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IPSI","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/370786","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/370786","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1480615301","https://openalex.org/W1532325895","https://openalex.org/W1572535120","https://openalex.org/W1980730196","https://openalex.org/W1993320088","https://openalex.org/W2037098674","https://openalex.org/W2053606794","https://openalex.org/W2062872677","https://openalex.org/W2069870183","https://openalex.org/W2077556543","https://openalex.org/W2083305840","https://openalex.org/W2118573581","https://openalex.org/W2124044117","https://openalex.org/W2132314908","https://openalex.org/W2148942721","https://openalex.org/W2149177634","https://openalex.org/W2152228468","https://openalex.org/W2153248125","https://openalex.org/W2158560632","https://openalex.org/W2161547991","https://openalex.org/W2164806297","https://openalex.org/W3138773240"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W25098770"],"abstract_inverted_index":{"Keyword":[0],"queries":[1],"over":[2,41,60],"structured":[3,42,61],"databases":[4],"are":[5],"notoriously":[6],"ambiguous.":[7],"No":[8],"single":[9],"interpretation":[10],"of":[11,37,56,81,92,102,131],"a":[12,29,47,57,66],"keyword":[13,38,58],"query":[14,59,75,82],"can":[15],"satisfy":[16],"all":[17],"users,":[18],"and":[19,35,88,94],"multiple":[20],"interpretations":[21,55],"may":[22],"yield":[23],"overlapping":[24],"results.":[25,83],"This":[26],"paper":[27],"proposes":[28],"scheme":[30,67],"to":[31,68],"balance":[32],"the":[33,53,70,116,126,129,132],"relevance":[34,101,134],"novelty":[36],"search":[39,71,112],"results":[40,72,113,130],"databases.":[43],"Firstly,":[44],"we":[45,64,85],"present":[46],"probabilistic":[48],"model":[49],"which":[50],"effectively":[51],"ranks":[52],"possible":[54,122],"data.":[62],"Then,":[63],"introduce":[65],"diversify":[69],"by":[73],"re-ranking":[74],"interpretations,":[76],"taking":[77,97],"into":[78,98],"account":[79,99],"redundancy":[80],"Finally,":[84],"propose":[86],"\u03b1-nDCG-W":[87],"WS-recall,":[89],"an":[90],"adaptation":[91],"\u03b1-nDCG":[93],"S-recall":[95],"metrics,":[96],"graded":[100],"subtopics.":[103],"Our":[104],"evaluation":[105],"on":[106],"two":[107],"real-world":[108],"datasets":[109],"demonstrates":[110],"that":[111],"obtained":[114],"using":[115],"proposed":[117],"diversification":[118],"algorithms":[119],"better":[120],"characterize":[121],"answers":[123],"available":[124],"in":[125],"database":[127],"than":[128],"initial":[133],"ranking.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}