{"id":"https://openalex.org/W2038076578","doi":"https://doi.org/10.1145/2806416.2806592","title":"A Study of Query Length Heuristics in Information Retrieval","display_name":"A Study of Query Length Heuristics in Information Retrieval","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W2038076578","doi":"https://doi.org/10.1145/2806416.2806592","mag":"2038076578"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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/A5045898854","display_name":"Yuanhua Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuanhua Lv","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045898854"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":2.3838,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90875919,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1747","last_page":"1750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9995999932289124,"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":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.996999979019165,"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":0.7889008522033691},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.7637330293655396},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7485195994377136},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.6635541915893555},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.637816309928894},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.6191043257713318},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5919747948646545},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5881789922714233},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5488331317901611},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5451282262802124},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5011968612670898},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.470724493265152},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37628039717674255},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.23158827424049377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889008522033691},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.7637330293655396},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7485195994377136},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.6635541915893555},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.637816309928894},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.6191043257713318},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5919747948646545},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5881789922714233},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5488331317901611},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5451282262802124},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5011968612670898},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.470724493265152},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37628039717674255},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.23158827424049377},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2806416.2806592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W1838897829","https://openalex.org/W2000569744","https://openalex.org/W2005545412","https://openalex.org/W2014415866","https://openalex.org/W2032854262","https://openalex.org/W2040039816","https://openalex.org/W2134557008","https://openalex.org/W2136542423","https://openalex.org/W2154848821","https://openalex.org/W2162697159","https://openalex.org/W4234200495","https://openalex.org/W4240913316"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2392799717","https://openalex.org/W2146885082","https://openalex.org/W3125756434","https://openalex.org/W2026738364","https://openalex.org/W2017989738","https://openalex.org/W2124814993","https://openalex.org/W1952568433","https://openalex.org/W2367594159"],"abstract_inverted_index":{"Query":[0],"length":[1,23,74],"has":[2],"generally":[3],"been":[4],"regarded":[5],"as":[6],"a":[7,31,64,109,123],"query-specific":[8],"constant":[9],"that":[10,21,81],"does":[11],"not":[12],"affect":[13],"document":[14],"ranking.":[15],"In":[16,53],"this":[17,102],"paper,":[18],"we":[19,62,121],"reveal":[20],"query":[22,43,60,73,116,131],"actually":[24],"interacts":[25],"with":[26],"term":[27],"frequency":[28],"(TF)":[29],"normalization,":[30],"key":[32],"component":[33,107],"of":[34,59,72],"all":[35],"effective":[36],"retrieval":[37,84,110],"models.":[38],"Specifically,":[39],"the":[40,42,45,47,57,70,94,104],"longer":[41],"is,":[44],"smaller":[46],"TF":[48,105],"decay":[49],"speed":[50],"should":[51,112],"be.":[52],"order":[54,99],"to":[55,68,92,100,115,127,130],"study":[56],"impact":[58],"length,":[61,132],"present":[63],"desirable":[65],"formal":[66],"constraint":[67,78],"capture":[69],"heuristic":[71],"for":[75],"retrieval.":[76],"Our":[77],"analysis":[79],"shows":[80],"current":[82],"state-of-the-art":[83],"functions,":[85],"including":[86],"BM25":[87,129],"and":[88,96,133],"language":[89],"models,":[90],"fail":[91],"satisfy":[93],"constraint,":[95],"that,":[97],"in":[98,108],"solve":[101],"problem,":[103],"normalization":[106],"function":[111],"be":[113],"adapted":[114],"length.":[117],"As":[118],"an":[119],"application,":[120],"develop":[122],"simple":[124],"regression":[125],"algorithm":[126],"adapt":[128],"demonstrate":[134],"its":[135],"effectiveness":[136],"on":[137],"several":[138],"representative":[139],"TREC":[140],"collections.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}