{"id":"https://openalex.org/W2134366819","doi":"https://doi.org/10.1145/2348283.2348398","title":"Using preference judgments for novel document retrieval","display_name":"Using preference judgments for novel document retrieval","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2134366819","doi":"https://doi.org/10.1145/2348283.2348398","mag":"2134366819"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348398","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th 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/A5020257829","display_name":"Praveen Chandar","orcid":"https://orcid.org/0009-0008-2199-2631"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praveen Chandar","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078123101","display_name":"Ben Carterette","orcid":"https://orcid.org/0000-0001-9538-047X"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Carterette","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"861","last_page":"870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994000196456909,"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":0.9994000196456909,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9889000058174133,"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":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.8509947061538696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440371513366699},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7043527960777283},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6970748901367188},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6722793579101562},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5894461274147034},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.483534574508667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46227747201919556},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4316819906234741},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41206246614456177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.323943167924881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11645373702049255},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11171615123748779},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1055365800857544}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.8509947061538696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440371513366699},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7043527960777283},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6970748901367188},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6722793579101562},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5894461274147034},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.483534574508667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46227747201919556},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4316819906234741},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41206246614456177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.323943167924881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11645373702049255},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11171615123748779},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1055365800857544},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2348283.2348398","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"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":18,"referenced_works":["https://openalex.org/W107810311","https://openalex.org/W185907677","https://openalex.org/W1586685689","https://openalex.org/W1980036597","https://openalex.org/W1993320088","https://openalex.org/W2043457403","https://openalex.org/W2093495945","https://openalex.org/W2113640060","https://openalex.org/W2116008435","https://openalex.org/W2116705992","https://openalex.org/W2132232498","https://openalex.org/W2132314908","https://openalex.org/W2157128462","https://openalex.org/W2159048649","https://openalex.org/W2160892561","https://openalex.org/W2197919320","https://openalex.org/W3032711590","https://openalex.org/W4230624213"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2053498227","https://openalex.org/W2929800688","https://openalex.org/W2931602588","https://openalex.org/W1986265453"],"abstract_inverted_index":{"There":[0],"has":[1,118],"been":[2],"considerable":[3],"interest":[4,87],"in":[5,8,79,88,138,143],"incorporating":[6],"diversity":[7,31,42,198],"search":[9],"results":[10],"to":[11,50,99,113,121,194],"account":[12],"for":[13,149],"redundancy":[14,180],"and":[15,41,132,179],"the":[16,56,90,122,162,166],"space":[17],"of":[18,38,58],"possible":[19],"user":[20,74,163,185],"needs.":[21],"Most":[22],"work":[23],"on":[24,29,55],"this":[25,97,130],"problem":[26],"is":[27,64,76,103,169],"based":[28,54],"subtopics:":[30],"rankers":[32],"score":[33],"documents":[34],"against":[35],"a":[36,48,73,109,115,139,147,191],"set":[37],"hypothesized":[39],"subtopics,":[40,83],"rankings":[43],"are":[44,172],"evaluated":[45],"by":[46],"assigning":[47],"value":[49,120],"each":[51],"ranked":[52],"document":[53,116,150,153,156],"number":[57],"novel":[59,82,140],"(and":[60],"redundant)":[61],"subtopics":[62],"it":[63,102],"relevant":[65],"to.":[66],"This":[67],"can":[68],"be":[69,183],"seen":[70],"as":[71],"modeling":[72],"who":[75],"always":[77],"interested":[78],"seeing":[80,89],"more":[81,119],"with":[84,135,204],"progressively":[85],"decreasing":[86],"same":[91],"subtopic":[92,167,207],"multiple":[93],"times.":[94],"We":[95,124,158],"put":[96],"model":[98,131,168],"test:":[100],"if":[101],"correct,":[104],"then":[105],"users,":[106],"when":[107],"given":[108,155],"choice,":[110],"should":[111],"prefer":[112],"see":[114],"that":[117,160,181],"evaluation.":[123],"formulate":[125],"some":[126],"specific":[127],"hypotheses":[128],"from":[129,177],"test":[133],"them":[134],"actual":[136],"users":[137,145],"preference-based":[141],"design":[142],"which":[144],"express":[146],"preference":[148,202],"A":[151],"or":[152],"B":[154],"C.":[157],"argue":[159],"while":[161],"study":[164],"shows":[165],"good,":[170],"there":[171],"many":[173],"other":[174],"factors":[175],"apart":[176],"novelty":[178],"may":[182],"influencing":[184],"preferences.":[186],"From":[187],"this,":[188],"we":[189],"introduce":[190],"new":[192],"framework":[193],"construct":[195],"an":[196],"ideal":[197],"ranking":[199],"using":[200],"only":[201],"judgments,":[203],"no":[205],"explicit":[206],"judgments":[208],"whatsoever.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
