{"id":"https://openalex.org/W2114512077","doi":"https://doi.org/10.1145/1076034.1076041","title":"Better than the real thing?","display_name":"Better than the real thing?","publication_year":2005,"publication_date":"2005-08-15","ids":{"openalex":"https://openalex.org/W2114512077","doi":"https://doi.org/10.1145/1076034.1076041","mag":"2114512077"},"language":"en","primary_location":{"id":"doi:10.1145/1076034.1076041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041210904","display_name":"Oren Kurland","orcid":"https://orcid.org/0000-0002-0669-0431"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oren Kurland","raw_affiliation_strings":["Cornell University, Ithaca NY and Carnegie Mellon University, Pittsburgh PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca NY and Carnegie Mellon University, Pittsburgh PA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076876084","display_name":"Lillian Lee","orcid":"https://orcid.org/0000-0003-4770-1712"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lillian Lee","raw_affiliation_strings":["Cornell University, Ithaca NY and Carnegie Mellon University, Pittsburgh PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca NY and Carnegie Mellon University, Pittsburgh PA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054417849","display_name":"Carmel Domshlak","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Carmel Domshlak","raw_affiliation_strings":["Technion, Haifa, Israel","Technion , Haifa , Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion , Haifa , Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.999,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9851468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9980999827384949,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9980000257492065,"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":0.8777188062667847},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.6818206906318665},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6647643446922302},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6067448854446411},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6029370427131653},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.579312801361084},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5721672773361206},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5140958428382874},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.46796876192092896},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.44758808612823486},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4315282702445984},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.4195566773414612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27451640367507935},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2214660942554474},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.10495373606681824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8777188062667847},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.6818206906318665},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6647643446922302},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6067448854446411},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6029370427131653},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.579312801361084},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5721672773361206},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5140958428382874},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.46796876192092896},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.44758808612823486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4315282702445984},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.4195566773414612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27451640367507935},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2214660942554474},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.10495373606681824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1076034.1076041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6000000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1494864219","https://openalex.org/W1514403774","https://openalex.org/W1526730373","https://openalex.org/W1557757161","https://openalex.org/W1585620735","https://openalex.org/W1594759534","https://openalex.org/W1602444393","https://openalex.org/W1904228841","https://openalex.org/W1964348731","https://openalex.org/W1985180788","https://openalex.org/W1990388042","https://openalex.org/W1990821053","https://openalex.org/W1996345225","https://openalex.org/W1999817920","https://openalex.org/W2027445772","https://openalex.org/W2027827699","https://openalex.org/W2030603245","https://openalex.org/W2068905009","https://openalex.org/W2077213532","https://openalex.org/W2084048649","https://openalex.org/W2093390569","https://openalex.org/W2098034778","https://openalex.org/W2099194852","https://openalex.org/W2102046030","https://openalex.org/W2117829666","https://openalex.org/W2123617953","https://openalex.org/W2130395434","https://openalex.org/W2136542423","https://openalex.org/W2150240006","https://openalex.org/W2164547069","https://openalex.org/W2169213601","https://openalex.org/W2261258341","https://openalex.org/W2918053736","https://openalex.org/W4206765718","https://openalex.org/W4240913316","https://openalex.org/W4243333943","https://openalex.org/W4246858749"],"related_works":["https://openalex.org/W2572349046","https://openalex.org/W2230616111","https://openalex.org/W2146885082","https://openalex.org/W2096359267","https://openalex.org/W3125756434","https://openalex.org/W2017989738","https://openalex.org/W2186703450","https://openalex.org/W2406556739","https://openalex.org/W2392799717","https://openalex.org/W1966669067"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,34,69,103,120],"novel":[3],"approach":[4],"to":[5,29,44,55,94,124],"pseudo-feedback-based":[6],"ad":[7],"hoc":[8],"retrieval":[9,46,73],"that":[10,38,49,80],"uses":[11],"language":[12,117],"models":[13,118],"induced":[14],"from":[15],"both":[16],"documents":[17,25,51],"and":[18],"clusters.":[19],"First,":[20],"we":[21,66],"treat":[22],"the":[23,30,45,50,56,109],"pseudo-feedback":[24],"produced":[26],"in":[27,53,89],"response":[28,54],"original":[31],"query":[32],"as":[33,42,61,74],"set":[35],"of":[36,71,84,102,105,115],"pseudo-query":[37,57,62],"themselves":[39],"can":[40,58],"serve":[41],"input":[43],"process.":[47,77],"Observing":[48],"returned":[52],"then":[59],"act":[60],"for":[63],"subsequent":[64],"rounds,":[65],"arrive":[67],"at":[68],"formulation":[70],"pseudo-query-based":[72],"an":[75],"iterative":[76],"Experiments":[78],"show":[79],"several":[81],"concrete":[82],"instantiations":[83],"this":[85],"idea,":[86],"when":[87],"applied":[88],"conjunction":[90],"with":[91],"techniques":[92],"designed":[93],"heighten":[95],"precision,":[96],"yield":[97],"performance":[98],"results":[99],"rivaling":[100],"those":[101],"number":[104],"previously-proposed":[106],"algorithms,":[107],"including":[108],"standard":[110],"language-modeling":[111],"approach.":[112],"The":[113],"use":[114],"cluster-based":[116],"is":[119],"key":[121],"contributing":[122],"factor":[123],"our":[125],"algorithms'":[126],"success.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
