{"id":"https://openalex.org/W2165820599","doi":"https://doi.org/10.1145/1871437.1871499","title":"Learning to rank relevant and novel documents through user feedback","display_name":"Learning to rank relevant and novel documents through user feedback","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W2165820599","doi":"https://doi.org/10.1145/1871437.1871499","mag":"2165820599"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th 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/A5109137844","display_name":"Abhimanyu Lad","orcid":null},"institutions":[{"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":true,"raw_author_name":"Abhimanyu Lad","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106542734","display_name":"Yiming Yang","orcid":"https://orcid.org/0009-0006-3569-0023"},"institutions":[{"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":"Yiming Yang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109137844"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.3874,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88918446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1998","issue":null,"first_page":"469","last_page":"478"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.8122639656066895},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7046877145767212},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.691814661026001},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6700006723403931},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5936148166656494},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5235602259635925},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5199748277664185},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.47969719767570496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45388704538345337},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44263580441474915},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.442003458738327},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4148421287536621}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122639656066895},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7046877145767212},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.691814661026001},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6700006723403931},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5936148166656494},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5235602259635925},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5199748277664185},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.47969719767570496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45388704538345337},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44263580441474915},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.442003458738327},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4148421287536621},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1521737429","https://openalex.org/W1523154139","https://openalex.org/W1592871157","https://openalex.org/W1597379241","https://openalex.org/W1604317414","https://openalex.org/W1680189815","https://openalex.org/W1964348731","https://openalex.org/W1973315504","https://openalex.org/W1981825277","https://openalex.org/W1984061923","https://openalex.org/W1993320088","https://openalex.org/W2004737172","https://openalex.org/W2011727889","https://openalex.org/W2014415866","https://openalex.org/W2023599408","https://openalex.org/W2025992023","https://openalex.org/W2037098674","https://openalex.org/W2050000782","https://openalex.org/W2051968805","https://openalex.org/W2055421030","https://openalex.org/W2058678235","https://openalex.org/W2070561899","https://openalex.org/W2080169294","https://openalex.org/W2083305840","https://openalex.org/W2096623622","https://openalex.org/W2098643647","https://openalex.org/W2104895009","https://openalex.org/W2132314908","https://openalex.org/W2135909747","https://openalex.org/W2169279737","https://openalex.org/W2181470043","https://openalex.org/W2197919320","https://openalex.org/W2611071287","https://openalex.org/W2970113856","https://openalex.org/W3118655244","https://openalex.org/W3138773240","https://openalex.org/W4230624213","https://openalex.org/W4238107244"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W25098770"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,90,115,161,194,197,210],"problem":[3],"of":[4,37,56,71,92,106,164,170,196],"learning":[5],"to":[6,14,48,51,60,89,114,159,176,193,225],"rank":[7],"relevant":[8,38],"and":[9,85,130,134,185,205,216],"novel":[10,42],"documents":[11],"so":[12],"as":[13,39,41,58,137,223,234,236],"directly":[15],"maximize":[16,160],"a":[17,120,182,226,237],"performance":[18,34,191],"metric":[19],"called":[20],"Expected":[21],"Global":[22],"Utility":[23],"(EGU),":[24],"which":[25,75,109],"has":[26],"several":[27],"desirable":[28],"properties:":[29],"(i)":[30],"It":[31],"measures":[32],"retrieval":[33,94,116,218],"in":[35,104,149],"terms":[36,105],"well":[40,235],"information,":[43],"(ii)":[44],"gives":[45],"more":[46],"importance":[47],"top":[49],"ranks":[50],"reflect":[52],"common":[53],"browsing":[54],"behavior":[55],"users,":[57],"opposed":[59],"existing":[61,82],"objective":[62,198],"functions":[63],"based":[64,145,228],"on":[65,146,202],"set-coverage,":[66],"(iii)":[67],"accommodates":[68],"different":[69],"levels":[70],"tolerance":[72],"towards":[73],"redundancy,":[74],"is":[76,102,157,174],"not":[77,112],"taken":[78],"into":[79],"account":[80],"by":[81],"evaluation":[83,91],"measures,":[84],"(iv)":[86],"extends":[87],"naturally":[88],"session-based":[93],"comprising":[95],"multiple":[96],"ranked":[97,155],"lists.":[98],"Our":[99,200],"ground":[100],"truth":[101],"defined":[103],"information":[107],"nuggets,":[140],"are":[110,143],"obviously":[111],"known":[113,175],"system":[117],"when":[118],"processing":[119],"new":[121],"user":[122,147],"query.":[123],"Therefore,":[124,179],"our":[125],"approach":[126,212,230,239],"uses":[127,232],"observable":[128],"query":[129],"document":[131],"features":[132],"(words":[133],"named":[135],"entities)":[136],"surrogates":[138],"for":[139,220,240],"whose":[141],"weights":[142],"learned":[144],"feedback":[148],"an":[150,214],"iterative":[151],"search":[152],"session.":[153],"The":[154,168],"list":[156],"produced":[158],"weighted":[162],"coverage":[163],"these":[165],"surrogate":[166],"nuggets.":[167],"optimization":[169],"such":[171],"coverage-based":[172],"metrics":[173],"be":[177],"NP-hard.":[178],"we":[180],"use":[181],"greedy":[183],"algorithm":[184],"show":[186,208],"that":[187,209,231],"it":[188],"guarantees":[189],"good":[190],"due":[192],"submodularity":[195],"function.":[199],"experiments":[201],"Topic":[203],"Detection":[204],"Tracking":[206],"data":[207],"proposed":[211],"represents":[213],"efficient":[215],"effective":[217],"strategy":[219],"maximizing":[221],"EGU,":[222],"compared":[224],"purely-relevance":[227],"ranking":[229],"Indri,":[233],"MMR-based":[238],"non-redundant":[241],"ranking.":[242]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
