{"id":"https://openalex.org/W2058678235","doi":"https://doi.org/10.1145/1277741.1277750","title":"Utility-based information distillation over temporally sequenced documents","display_name":"Utility-based information distillation over temporally sequenced documents","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2058678235","doi":"https://doi.org/10.1145/1277741.1277750","mag":"2058678235"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th 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/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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","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":false,"raw_author_name":"Abhimanyu Lad","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087022523","display_name":"Ni Lao","orcid":"https://orcid.org/0000-0002-4034-7784"},"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":"Ni Lao","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083632274","display_name":"Abhay Harpale","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":false,"raw_author_name":"Abhay Harpale","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077725628","display_name":"Bryan Kisiel","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":false,"raw_author_name":"Bryan Kisiel","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032040828","display_name":"Monica Rogati","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":false,"raw_author_name":"Monica Rogati","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.8934,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92138666,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.996399998664856,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9955999851226807,"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":0.8578794598579407},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.8506457209587097},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7405945062637329},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7202285528182983},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6546058654785156},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6266995072364807},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.6207062602043152},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6014623641967773},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5721301436424255},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5600646734237671},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5130401849746704},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5011889934539795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4948388934135437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4859248697757721},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4485878646373749},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4435674846172333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41036003828048706},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.0840720534324646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8578794598579407},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.8506457209587097},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7405945062637329},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7202285528182983},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6546058654785156},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6266995072364807},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.6207062602043152},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6014623641967773},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5721301436424255},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5600646734237671},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5130401849746704},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5011889934539795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4948388934135437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4859248697757721},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4485878646373749},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4435674846172333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41036003828048706},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0840720534324646},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1277741.1277750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.7235","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.7235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Ealad/papers/yang-sigir08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W348133106","https://openalex.org/W1480827513","https://openalex.org/W1500614872","https://openalex.org/W1515778651","https://openalex.org/W1594112393","https://openalex.org/W1981825277","https://openalex.org/W1990821053","https://openalex.org/W1993644118","https://openalex.org/W2021420765","https://openalex.org/W2040424159","https://openalex.org/W2056952906","https://openalex.org/W2066703653","https://openalex.org/W2069870183","https://openalex.org/W2072284402","https://openalex.org/W2083305840","https://openalex.org/W2092308481","https://openalex.org/W2098766443","https://openalex.org/W2100520226","https://openalex.org/W2110891465","https://openalex.org/W2131340601","https://openalex.org/W2164949130","https://openalex.org/W2165014986","https://openalex.org/W2197919320","https://openalex.org/W3138773240","https://openalex.org/W4210335708","https://openalex.org/W4230624213","https://openalex.org/W4253038322"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W4312933423","https://openalex.org/W2604316291"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"a":[3,15,21,102,135],"new":[4,149],"approach":[5,51],"to":[6,42,152],"information":[7,44,66],"distillation":[8],"over":[9],"temporally":[10],"ordered":[11],"documents,":[12],"and":[13,28,36,63,101,139],"proposes":[14],"novel":[16],"evaluation":[17],"scheme":[18],"for":[19,67,98,107,127],"such":[20,65],"framework.":[22],"It":[23],"combines":[24],"the":[25,85,124,129,148,153,160],"strengths":[26],"of":[27,58,61,123,131,137],"extends":[29],"beyond":[30],"conventional":[31],"adaptive":[32,71],"filtering,":[33],"novelty":[34,161],"detection":[35,162],"non-redundant":[37],"passage":[38],"ranking":[39],"with":[40,47,88],"respect":[41],"long-lasting":[43],"needs":[45],"(\"tasks\"":[46],"multiple":[48,89],"queries).":[49],"Our":[50,141],"supports":[52],"fine-grained":[53],"user":[54],"feedback":[55],"via":[56],"highlighting":[57],"arbitrary":[59],"spans":[60],"text,":[62],"leverages":[64],"utility":[68,130,145],"optimization":[69],"in":[70,84],"settings.":[72],"For":[73],"our":[74],"experiments,":[75],"we":[76],"defined":[77],"hypothetical":[78],"tasks":[79],"based":[80],"on":[81],"news":[82],"events":[83],"TDT4":[86],"corpus,":[87],"queries":[90],"per":[91],"task.":[92],"Answer":[93],"keys":[94],"(nuggets)":[95],"were":[96],"generated":[97],"each":[99],"query":[100],"semi-automatic":[103],"procedure":[104],"was":[105],"used":[106],"acquiring":[108],"rules":[109],"that":[110],"allow":[111],"automatically":[112],"matching":[113],"nuggets":[114],"against":[115],"system":[116],"responses.":[117],"We":[118],"also":[119],"propose":[120],"an":[121],"extension":[122],"NDCG":[125],"metric":[126],"assessing":[128],"ranked":[132],"passages":[133],"as":[134],"combination":[136],"relevance":[138],"novelty.":[140],"results":[142],"show":[143],"encouraging":[144],"enhancements":[146],"using":[147],"approach,":[150],"compared":[151],"baseline":[154],"systems":[155],"without":[156],"incremental":[157],"learning":[158],"or":[159],"components.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
