{"id":"https://openalex.org/W2094790959","doi":"https://doi.org/10.1145/1458082.1458092","title":"How does clickthrough data reflect retrieval quality?","display_name":"How does clickthrough data reflect retrieval quality?","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2094790959","doi":"https://doi.org/10.1145/1458082.1458092","mag":"2094790959"},"language":"en","primary_location":{"id":"doi:10.1145/1458082.1458092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM 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/A5081692910","display_name":"Filip Radlinski","orcid":"https://orcid.org/0000-0002-1386-9288"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Filip Radlinski","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071349248","display_name":"Madhu Kurup","orcid":null},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madhu Kurup","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014687727","display_name":"Thorsten Joachims","orcid":"https://orcid.org/0000-0003-3654-3683"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thorsten Joachims","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081692910"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":50.7372,"has_fulltext":false,"cited_by_count":293,"citation_normalized_percentile":{"value":0.99817263,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9993000030517578,"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":0.9993000030517578,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.994700014591217,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8338302373886108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8190722465515137},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.708757758140564},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6306989192962646},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4427073299884796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39888817071914673}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8338302373886108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190722465515137},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.708757758140564},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6306989192962646},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4427073299884796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39888817071914673},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1458082.1458092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.147.454","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/People/tj/publications/radlinski_etal_08b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W135190683","https://openalex.org/W242754990","https://openalex.org/W603936577","https://openalex.org/W1532325895","https://openalex.org/W1570968730","https://openalex.org/W1574949398","https://openalex.org/W1859938857","https://openalex.org/W1974360117","https://openalex.org/W1983595289","https://openalex.org/W2032707052","https://openalex.org/W2037140704","https://openalex.org/W2047221353","https://openalex.org/W2058473041","https://openalex.org/W2061503185","https://openalex.org/W2099391294","https://openalex.org/W2109244020","https://openalex.org/W2123937625","https://openalex.org/W2124504084","https://openalex.org/W2156160882","https://openalex.org/W2159048649","https://openalex.org/W2164363339","https://openalex.org/W2169783907","https://openalex.org/W2170686633","https://openalex.org/W2407295445","https://openalex.org/W6618476789","https://openalex.org/W7043762925"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2088097596","https://openalex.org/W2150136235","https://openalex.org/W2140661912","https://openalex.org/W2037724912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"Automatically":[0],"judging":[1],"the":[2,25,54,63,84,106],"quality":[3,33,82,108],"of":[4,43,62,72,75,109,129],"retrieval":[5,16,32,81,111],"functions":[6],"based":[7],"on":[8,53],"observable":[9,28],"user":[10,22,29],"behavior":[11,30],"holds":[12],"promise":[13],"for":[14,48,83],"making":[15],"evaluation":[17,155],"faster,":[18],"cheaper,":[19],"and":[20,31,102,132,139,153],"more":[21,151],"centered.":[23],"However,":[24,89],"relationship":[26,47],"between":[27],"is":[34],"not":[35],"yet":[36],"fully":[37],"understood.":[38],"We":[39,58,142],"present":[40],"a":[41],"sequence":[42],"studies":[44],"investigating":[45],"this":[46],"an":[49,126],"operational":[50],"search":[51],"engine":[52],"arXiv.org":[55],"e-print":[56],"archive.":[57],"find":[59,91,134],"that":[60,92,121,135,144],"none":[61],"eight":[64],"absolute":[65,158],"usage":[66,159],"metrics":[67,160],"we":[68,87,90,115,133],"explore":[69],"(e.g.,":[70],"number":[71],"clicks,":[73],"frequency":[74],"query":[76],"reformulations,":[77],"abandonment)":[78],"reliably":[79],"reflect":[80],"sample":[85],"sizes":[86],"consider.":[88],"paired":[93,118,146],"experiment":[94],"designs":[95],"adapted":[96],"from":[97,125],"sensory":[98],"analysis":[99],"produce":[100],"accurate":[101,138,152],"reliable":[103],"statements":[104],"about":[105],"relative":[107],"two":[110,117],"functions.":[112],"In":[113],"particular,":[114],"investigate":[116],"comparison":[119,147],"tests":[120,148],"analyze":[122],"clickthrough":[123],"data":[124],"interleaved":[127],"presentation":[128],"ranking":[130],"pairs,":[131],"both":[136,145],"give":[137,149],"consistent":[140],"results.":[141],"conclude":[143],"substantially":[150],"sensitive":[154],"results":[156],"than":[157],"in":[161],"our":[162],"domain.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":21},{"year":2015,"cited_by_count":29},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":29},{"year":2012,"cited_by_count":21}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
