{"id":"https://openalex.org/W2050419915","doi":"https://doi.org/10.1145/2063576.2063623","title":"Structured learning of two-level dynamic rankings","display_name":"Structured learning of two-level dynamic rankings","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2050419915","doi":"https://doi.org/10.1145/2063576.2063623","mag":"2050419915"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international 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/A5011489319","display_name":"Karthik Raman","orcid":"https://orcid.org/0000-0002-9311-7093"},"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":"Karthik Raman","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/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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015752938","display_name":"Pannaga Shivaswamy","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":"Pannaga Shivaswamy","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/A5011489319"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":6.8412,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.9674004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"291","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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":0.9961000084877014,"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/ranking","display_name":"Ranking (information retrieval)","score":0.906415581703186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8157466650009155},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6087912321090698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4945487678050995},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48122620582580566},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45350104570388794},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.43457168340682983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3938024938106537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.377369225025177},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32430145144462585}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.906415581703186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157466650009155},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6087912321090698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4945487678050995},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48122620582580566},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45350104570388794},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.43457168340682983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3938024938106537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.377369225025177},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32430145144462585},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2063576.2063623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.648.9474","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.9474","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/~karthik/Publications/PDF/raman_etal_11b.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.755.7311","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.755.7311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1108.2754.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1680189815","https://openalex.org/W1974757757","https://openalex.org/W1993320088","https://openalex.org/W2037098674","https://openalex.org/W2048045485","https://openalex.org/W2050419915","https://openalex.org/W2083305840","https://openalex.org/W2104895009","https://openalex.org/W2105842272","https://openalex.org/W2117476371","https://openalex.org/W2197919320","https://openalex.org/W2293756138","https://openalex.org/W2760537888","https://openalex.org/W3010318089","https://openalex.org/W3118655244","https://openalex.org/W3138773240","https://openalex.org/W4230624213"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2138488530","https://openalex.org/W4385565564","https://openalex.org/W2370100764","https://openalex.org/W2031468273","https://openalex.org/W2387658907","https://openalex.org/W2351112195","https://openalex.org/W2898073868","https://openalex.org/W2110822809","https://openalex.org/W2352397247"],"abstract_inverted_index":{"For":[0],"ambiguous":[1],"queries,":[2],"conventional":[3,60,179],"retrieval":[4,62,176],"systems":[5],"are":[6,107],"bound":[7],"by":[8,42],"two":[9],"conflicting":[10],"goals.":[11],"On":[12,31],"the":[13,32,59,83,89,104,150,165,173],"one":[14],"hand,":[15,34],"they":[16,35],"should":[17,36],"diversify":[18],"and":[19,52],"strive":[20],"to":[21,81,109,121,126,138,164],"present":[22],"results":[23,124],"for":[24,39,154],"as":[25,29],"many":[26],"query":[27],"intents":[28],"possible.":[30],"other":[33],"provide":[37,122,135,169],"depth":[38,53],"each":[40],"intent":[41],"displaying":[43],"more":[44,123],"than":[45],"a":[46,66,93,100],"single":[47],"result.":[48],"Since":[49],"both":[50],"diversity":[51],"cannot":[54],"be":[55,119],"achieved":[56],"simultaneously":[57],"in":[58,175],"static":[61,95],"model,":[63,99],"we":[64,134,168],"propose":[65,149],"new":[67],"dynamic":[68,76,131,141,156],"ranking":[69,77,84,106,132,157],"approach.":[70],"In":[71,97,162],"particular,":[72],"our":[73],"proposed":[74],"two-level":[75],"model":[78],"allows":[79],"users":[80],"adapt":[82],"through":[85],"interaction,":[86],"thus":[87],"overcoming":[88],"constraints":[90],"of":[91],"presenting":[92],"one-size-fits-all":[94],"ranking.":[96],"this":[98,111,127],"user's":[101,112],"interactions":[102],"with":[103,143],"first-level":[105],"used":[108],"infer":[110],"intent,":[113],"so":[114],"that":[115],"second-level":[116],"rankings":[117,142],"can":[118],"inserted":[120],"relevant":[125],"intent.":[128],"Unlike":[129],"previous":[130],"models,":[133],"an":[136],"algorithm":[137,153],"efficiently":[139],"compute":[140],"provable":[144],"approximation":[145],"guarantees.":[146],"We":[147],"also":[148],"first":[151],"principled":[152],"learning":[155],"functions":[158],"from":[159],"training":[160],"data.":[161],"addition":[163],"theoretical":[166],"results,":[167],"empirical":[170],"evidence":[171],"demonstrating":[172],"gains":[174],"quality":[177],"over":[178],"approaches.":[180]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}