{"id":"https://openalex.org/W3153610952","doi":"https://doi.org/10.1145/3404835.3463039","title":"Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction?","display_name":"Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction?","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3153610952","doi":"https://doi.org/10.1145/3404835.3463039","mag":"3153610952"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Is_Query_Performance_Prediction_With_Multiple_Query_Variations_Harder_Than_Topic_Performance_Prediction_/27592290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052168069","display_name":"Oleg Zendel","orcid":"https://orcid.org/0000-0003-1535-0989"},"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":true,"raw_author_name":"Oleg Zendel","raw_affiliation_strings":["RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070937840","display_name":"J. Shane Culpepper","orcid":"https://orcid.org/0000-0002-1902-9087"},"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":"J. Shane Culpepper","raw_affiliation_strings":["RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085925326","display_name":"Falk Scholer","orcid":"https://orcid.org/0000-0001-9094-0810"},"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":"Falk Scholer","raw_affiliation_strings":["RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052168069"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.9904,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88685086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1713","last_page":"1717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9976999759674072,"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":0.9976999759674072,"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/T11106","display_name":"Data Management and Algorithms","score":0.9833999872207642,"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":0.9776999950408936,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8209004402160645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.553896963596344},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5416842103004456},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.5403374433517456},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4889198839664459},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4699454605579376},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4438619613647461},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.4224732220172882},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41857945919036865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3208065629005432},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3060692846775055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2753985822200775},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2574256658554077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8209004402160645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.553896963596344},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5416842103004456},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5403374433517456},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4889198839664459},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4699454605579376},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4438619613647461},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.4224732220172882},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41857945919036865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3208065629005432},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3060692846775055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2753985822200775},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2574256658554077},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3404835.3463039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:alma61RMIT.INST:11280832440001341","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/abs/10.1145/3404835.3463039","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"},{"id":"pmh:oai:figshare.com:article/27592290","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Is_Query_Performance_Prediction_With_Multiple_Query_Variations_Harder_Than_Topic_Performance_Prediction_/27592290","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27592290","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Is_Query_Performance_Prediction_With_Multiple_Query_Variations_Harder_Than_Topic_Performance_Prediction_/27592290","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G5278411296","display_name":null,"funder_award_id":"DP190101113","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1605510967","https://openalex.org/W1707848225","https://openalex.org/W1965237068","https://openalex.org/W1970242704","https://openalex.org/W1979354511","https://openalex.org/W1979399319","https://openalex.org/W1986419981","https://openalex.org/W1990838106","https://openalex.org/W2024463435","https://openalex.org/W2028521145","https://openalex.org/W2079168273","https://openalex.org/W2087131461","https://openalex.org/W2087818911","https://openalex.org/W2129632406","https://openalex.org/W2130900715","https://openalex.org/W2136583886","https://openalex.org/W2388783363","https://openalex.org/W2750779823","https://openalex.org/W2771567839","https://openalex.org/W2798611185","https://openalex.org/W2901143721","https://openalex.org/W2912083425","https://openalex.org/W2979894627","https://openalex.org/W2997998108","https://openalex.org/W3003257820","https://openalex.org/W3103145119","https://openalex.org/W3130391092","https://openalex.org/W3150989060","https://openalex.org/W4231752194","https://openalex.org/W4255898812"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2026738364","https://openalex.org/W2901901036","https://openalex.org/W2572349046","https://openalex.org/W2013069866","https://openalex.org/W1793997780","https://openalex.org/W2538384344","https://openalex.org/W8514837","https://openalex.org/W2146885082","https://openalex.org/W2170741935"],"abstract_inverted_index":{"Accurately":[0],"estimating":[1],"the":[2,31,41,51,62,71,89,93],"retrieval":[3],"effectiveness":[4,95],"of":[5,55,64,88],"different":[6],"queries":[7,39],"representing":[8,40],"distinct":[9],"information":[10,43],"needs":[11],"is":[12,84,109],"a":[13],"problem":[14,32],"in":[15,47,67,70,92],"Information":[16],"Retrieval":[17],"(IR)":[18],"that":[19,30,78],"has":[20],"been":[21],"studied":[22],"for":[23,79],"over":[24],"20":[25],"years.":[26],"Recent":[27],"work":[28],"showed":[29],"can":[33],"be":[34],"significantly":[35],"harder":[36],"when":[37],"multiple":[38],"same":[42],"need":[44],"are":[45],"used":[46],"prediction.":[48],"By":[49],"generalizing":[50],"existing":[52],"evaluation":[53],"framework":[54],"Query":[56],"Performance":[57],"Prediction":[58],"(QPP)":[59,108],"we":[60],"explore":[61],"causes":[63],"these":[65],"differences":[66,91],"prediction":[68],"quality":[69],"two":[72],"scenarios.":[73],"Our":[74,97],"empirical":[75],"analysis":[76,99],"demonstrates":[77,101],"most":[80,110],"predictors,":[81],"this":[82],"difference":[83],"solely":[85],"an":[86],"artifact":[87],"underlying":[90],"query":[94],"distributions.":[96],"detailed":[98],"also":[100],"key":[102],"performance":[103],"distribution":[104],"properties":[105],"under":[106],"which":[107],"and":[111],"least":[112],"reliable.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}