{"id":"https://openalex.org/W2083841623","doi":"https://doi.org/10.1145/2461466.2461480","title":"A cross-media evolutionary timeline generation framework based on iterative recommendation","display_name":"A cross-media evolutionary timeline generation framework based on iterative recommendation","publication_year":2013,"publication_date":"2013-04-16","ids":{"openalex":"https://openalex.org/W2083841623","doi":"https://doi.org/10.1145/2461466.2461480","mag":"2083841623"},"language":"en","primary_location":{"id":"doi:10.1145/2461466.2461480","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","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/A5047761481","display_name":"Shize Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shize Xu","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082099087","display_name":"Liang Kong","orcid":"https://orcid.org/0000-0001-5784-4536"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Kong","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108557243","display_name":"Yan Zhang","orcid":"https://orcid.org/0009-0008-0499-9436"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047761481"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.0886,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81261344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"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":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"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/timeline","display_name":"Timeline","score":0.9954200983047485},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9037418365478516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7924395799636841},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.755858302116394},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6055396199226379},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3830028772354126},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33743250370025635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07478046417236328}],"concepts":[{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.9954200983047485},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9037418365478516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924395799636841},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.755858302116394},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6055396199226379},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3830028772354126},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33743250370025635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07478046417236328},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2461466.2461480","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W202113353","https://openalex.org/W311829520","https://openalex.org/W1584391167","https://openalex.org/W1750831471","https://openalex.org/W1921650316","https://openalex.org/W1977010045","https://openalex.org/W2012179416","https://openalex.org/W2020319149","https://openalex.org/W2029513326","https://openalex.org/W2039844788","https://openalex.org/W2056952330","https://openalex.org/W2072286734","https://openalex.org/W2083778364","https://openalex.org/W2094515246","https://openalex.org/W2103065218","https://openalex.org/W2106277773","https://openalex.org/W2114983407","https://openalex.org/W2124386111","https://openalex.org/W2131004098","https://openalex.org/W2135495419","https://openalex.org/W2142004338","https://openalex.org/W2148374900","https://openalex.org/W2150824314","https://openalex.org/W2158616698","https://openalex.org/W2159116669","https://openalex.org/W6675149414"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W4385261515","https://openalex.org/W3094038556","https://openalex.org/W4296345146","https://openalex.org/W2014772881","https://openalex.org/W4254228154","https://openalex.org/W3049477255"],"abstract_inverted_index":{"Summarization":[0],"methods":[1],"such":[2],"as":[3],"timelines":[4,31,125,141],"have":[5],"greatly":[6],"helped":[7],"people":[8],"to":[9],"understand":[10],"all":[11,75,93],"kinds":[12],"of":[13,65,73,101,106],"news":[14],"events":[15],"within":[16],"limited":[17],"time.":[18],"However,":[19],"there":[20],"are":[21],"few":[22],"studies":[23],"probing":[24],"into":[25,97],"cross-media":[26,88],"summarization,":[27],"for":[28],"example,":[29],"generating":[30],"which":[32,126],"contain":[33],"both":[34],"texts":[35],"and":[36,50,82,95,109,132],"images":[37,96],"that":[38,139],"can":[39,121],"reinforce":[40],"each":[41],"other.":[42],"In":[43],"this":[44,48],"paper,":[45],"we":[46,59,91,120],"tackle":[47],"important":[49],"challenging":[51],"problem":[52],"by":[53,143],"proposing":[54],"a":[55,86],"novel":[56],"solution.":[57],"Specifically,":[58],"first":[60],"reveal":[61],"three":[62],"requisite":[63],"characteristics":[64],"an":[66],"ideal":[67],"image-text":[68],"timeline.":[69],"With":[70],"the":[71,99,104,110,113,123,140],"idea":[72],"recommendation,":[74],"these":[76],"requisites":[77],"will":[78,127],"be":[79],"modeled":[80],"respectively,":[81],"fused":[83],"compactly":[84],"in":[85],"unified":[87],"framework.":[89],"Finally,":[90],"put":[92],"sentences":[94],"either":[98],"schema":[100,105],"referrer":[102],"or":[103],"recommended":[107],"candidate,":[108],"former":[111],"recommends":[112],"latter.":[114],"After":[115],"changing":[116],"their":[117],"roles":[118],"iteratively,":[119],"achieve":[122],"optimal":[124],"significantly":[128],"improve":[129],"user":[130],"experience":[131],"satisfaction.":[133],"Experiments":[134],"on":[135],"real-world":[136],"datasets":[137],"show":[138],"generated":[142],"our":[144],"framework":[145],"outperform":[146],"several":[147],"competitive":[148],"baselines.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}