{"id":"https://openalex.org/W2532065816","doi":"https://doi.org/10.1145/2983323.2983809","title":"Retweet Prediction with Attention-based Deep Neural Network","display_name":"Retweet Prediction with Attention-based Deep Neural Network","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2532065816","doi":"https://doi.org/10.1145/2983323.2983809","mag":"2532065816"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on 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/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041448669","display_name":"Yeyun Gong","orcid":"https://orcid.org/0000-0001-9954-9674"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeyun Gong","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031568678","display_name":"Jindou Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindou Wu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659998","display_name":"Haoran Huang","orcid":"https://orcid.org/0000-0002-9603-6109"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Huang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100360407"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":6.5967,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.97984519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8536558151245117},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7124311327934265},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7067553997039795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323387026786804},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6287049055099487},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5882327556610107},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.5496727228164673},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.535979688167572},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5355413556098938},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5129579901695251},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5028666853904724},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48774462938308716},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17101654410362244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8536558151245117},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7124311327934265},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7067553997039795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323387026786804},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6287049055099487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5882327556610107},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.5496727228164673},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.535979688167572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5355413556098938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5129579901695251},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5028666853904724},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48774462938308716},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17101654410362244},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"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":56,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W170896097","https://openalex.org/W179875071","https://openalex.org/W854541894","https://openalex.org/W1025179915","https://openalex.org/W1423339008","https://openalex.org/W1497572584","https://openalex.org/W1514535095","https://openalex.org/W1607307044","https://openalex.org/W1801721664","https://openalex.org/W1832693441","https://openalex.org/W1850742715","https://openalex.org/W1902237438","https://openalex.org/W1904365287","https://openalex.org/W1928906481","https://openalex.org/W1966443646","https://openalex.org/W1973603435","https://openalex.org/W1983364832","https://openalex.org/W1984629433","https://openalex.org/W1992537918","https://openalex.org/W2001653897","https://openalex.org/W2016053056","https://openalex.org/W2024369724","https://openalex.org/W2026318959","https://openalex.org/W2033134951","https://openalex.org/W2051322528","https://openalex.org/W2058719535","https://openalex.org/W2080290417","https://openalex.org/W2086643611","https://openalex.org/W2094948131","https://openalex.org/W2101656432","https://openalex.org/W2109886035","https://openalex.org/W2110951295","https://openalex.org/W2119788759","https://openalex.org/W2127267264","https://openalex.org/W2147520184","https://openalex.org/W2147527908","https://openalex.org/W2149731496","https://openalex.org/W2161381512","https://openalex.org/W2174492417","https://openalex.org/W2186845332","https://openalex.org/W2188183693","https://openalex.org/W2195033795","https://openalex.org/W2251008987","https://openalex.org/W2265862919","https://openalex.org/W2308045930","https://openalex.org/W2340452757","https://openalex.org/W2406281999","https://openalex.org/W2559655401","https://openalex.org/W2597501072","https://openalex.org/W2604272474","https://openalex.org/W2618530766","https://openalex.org/W2949300694","https://openalex.org/W2950133940","https://openalex.org/W2951359136","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2750075801","https://openalex.org/W4377865163","https://openalex.org/W3164948662","https://openalex.org/W3193857078","https://openalex.org/W3153597579","https://openalex.org/W3034267371","https://openalex.org/W2888956734","https://openalex.org/W3208304128","https://openalex.org/W4385336128","https://openalex.org/W2532065816"],"abstract_inverted_index":{"On":[0],"Twitter-like":[1],"social":[2,148],"media":[3],"sites,":[4],"the":[5,18,46,64,77,96,158,160,164,173,189,197],"re-posting":[6],"statuses":[7],"or":[8,84],"tweets":[9],"of":[10,54],"other":[11,58],"users":[12],"are":[13,82],"usually":[14],"considered":[15],"to":[16,25,62,75,104,144,156],"be":[17,31],"key":[19],"mechanism":[20],"for":[21,101,150],"spreading":[22],"information.":[23],"How":[24],"predict":[26],"whether":[27],"a":[28,34,70,138,179],"tweet":[29,167],"will":[30],"retweeted":[32],"by":[33],"user":[35],"has":[36],"received":[37],"increasing":[38],"attention":[39,162],"in":[40,95,110],"recent":[41],"years.":[42],"Previous":[43],"methods":[44,91,115],"studied":[45],"problem":[47],"using":[48],"various":[49],"linguistic":[50],"features,":[51],"personal":[52],"information":[53,149],"users,":[55],"and":[56,80,98,109,130,147,166,171],"many":[57,111],"manually":[59],"constructed":[60,178],"features":[61,107],"achieve":[63,117,193],"task.":[65,152],"Usually,":[66],"feature":[67],"engineering":[68],"is":[69],"laborious":[71],"task,":[72],"we":[73,136,176],"require":[74],"obtain":[76],"external":[78],"sources":[79],"they":[81],"difficult":[83],"not":[85],"always":[86],"available.":[87],"Recently,":[88],"deep":[89,113,141],"learning":[90,114],"have":[92],"been":[93],"used":[94,154],"industry":[97],"research":[99],"community":[100],"their":[102],"ability":[103],"learn":[105],"optimal":[106],"automatically":[108],"tasks,":[112],"can":[116],"state-of-the":[118],"art":[119],"performance,":[120],"such":[121],"as":[122],"natural":[123],"language":[124],"processing,":[125],"computer":[126],"vision,":[127],"image":[128],"classification":[129],"so":[131],"on.":[132],"In":[133],"this":[134,151],"work,":[135],"proposed":[137,174,190],"novel":[139],"attention-based":[140],"neural":[142],"network":[143],"incorporate":[145],"contextual":[146],"We":[153],"embeddings":[155],"represent":[157],"user,":[159],"user's":[161],"interests,":[163],"author":[165],"respectively.":[168],"To":[169],"train":[170],"evaluate":[172],"methods,":[175],"also":[177],"large":[180],"dataset":[181],"collected":[182],"from":[183],"Twitter.":[184],"Experimental":[185],"results":[186,195],"showed":[187],"that":[188],"method":[191],"could":[192],"better":[194],"than":[196],"previous":[198],"state-of-the-art":[199],"methods.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":8}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
