{"id":"https://openalex.org/W2269406663","doi":"https://doi.org/10.1145/2567948.2577290","title":"Discovering and learning sensational episodes of news events","display_name":"Discovering and learning sensational episodes of news events","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W2269406663","doi":"https://doi.org/10.1145/2567948.2577290","mag":"2269406663"},"language":"en","primary_location":{"id":"doi:10.1145/2567948.2577290","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2567948.2577290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on World Wide Web","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/A5068007462","display_name":"Xiang Ao","orcid":"https://orcid.org/0000-0001-9633-8361"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ao","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752685","display_name":"Ping Luo","orcid":"https://orcid.org/0000-0002-6645-4721"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Luo","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084878734","display_name":"Chengkai Li","orcid":"https://orcid.org/0000-0002-1724-8278"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengkai Li","raw_affiliation_strings":["University of Texas ar Arlington, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas ar Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102969899","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0002-0520-2619"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734672","display_name":"Qing He","orcid":"https://orcid.org/0000-0001-8833-5398"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075925664","display_name":"Zhongzhi Shi","orcid":"https://orcid.org/0000-0002-3280-1676"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhi Shi","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/limiting","display_name":"Limiting","score":0.7599670886993408},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.714790403842926},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6909988522529602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6703554391860962},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6227712035179138},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5159483551979065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4859953820705414},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3323863744735718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32089298963546753},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.15736854076385498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14498645067214966},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11552685499191284},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05922254920005798}],"concepts":[{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.7599670886993408},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.714790403842926},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6909988522529602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6703554391860962},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6227712035179138},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5159483551979065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4859953820705414},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3323863744735718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32089298963546753},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.15736854076385498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14498645067214966},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11552685499191284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05922254920005798},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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:10.1145/2567948.2577290","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2567948.2577290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1034104749","display_name":null,"funder_award_id":"2014AA012205, 2013AA01A606, 2012AA011003","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G3082021099","display_name":null,"funder_award_id":"61175052, 61203297, 61035003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8044316874","display_name":null,"funder_award_id":"1018865, 1117369","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W58080530","https://openalex.org/W1984446671","https://openalex.org/W1993715838","https://openalex.org/W2003957650"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W2772359885","https://openalex.org/W3011471740","https://openalex.org/W2954428433","https://openalex.org/W2884580467","https://openalex.org/W2572315477"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,67],"problem":[4],"of":[5,13,45,53,70],"discovering":[6],"and":[7,86],"learning":[8],"sensational":[9,42,54,68],"2-episodes,":[10],"i.e.,":[11],"pairs":[12],"co-occurring":[14],"news":[15],"events.":[16],"To":[17],"find":[18],"all":[19],"frequent":[20,35],"episodes,":[21,36],"we":[22,37,56],"propose":[23,57],"an":[24,71],"efficient":[25],"algorithm,":[26],"MEELO,":[27],"which":[28],"significantly":[29],"outperforms":[30],"conventional":[31],"methods.":[32],"Given":[33],"many":[34],"rank":[38],"them":[39],"by":[40],"their":[41],"effect.":[43],"Instead":[44],"limiting":[46],"ourselves":[47],"to":[48,65],"any":[49],"individual":[50],"subjective":[51],"measure":[52],"effect,":[55],"a":[58],"learning-to-rank":[59],"approach":[60],"that":[61],"exploits":[62],"multiple":[63],"features":[64],"capture":[66],"effect":[69],"episode":[72],"from":[73],"various":[74],"aspects.":[75],"An":[76],"experimental":[77],"study":[78],"on":[79],"real":[80],"data":[81],"verified":[82],"our":[83],"approach's":[84],"efficiency":[85],"effectiveness.":[87]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
