{"id":"https://openalex.org/W3116183272","doi":"https://doi.org/10.1109/tencon50793.2020.9293909","title":"An efficient approach for paper submission recommendation","display_name":"An efficient approach for paper submission recommendation","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3116183272","doi":"https://doi.org/10.1109/tencon50793.2020.9293909","mag":"3116183272"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5018732037","display_name":"Huynh Thanh Son","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Huynh Thanh Son","raw_affiliation_strings":["AISIA Research Lab Department of Computer Science, University of Science, Vietnam National University, Hochiminh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"AISIA Research Lab Department of Computer Science, University of Science, Vietnam National University, Hochiminh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026665573","display_name":"Huynh Tan Phong","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Huynh Tan Phong","raw_affiliation_strings":["AISIA Research Lab Department of Computer Science, University of Science, Vietnam National University, Hochiminh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"AISIA Research Lab Department of Computer Science, University of Science, Vietnam National University, Hochiminh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045947373","display_name":"Nguyen Huu Dac","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Huu Dac","raw_affiliation_strings":["AISIA Research Lab John Von Neumann Institute Vietnam National University, Hochiminh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"AISIA Research Lab John Von Neumann Institute Vietnam National University, Hochiminh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018732037"],"corresponding_institution_ids":["https://openalex.org/I123565023"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73969025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"726","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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":0.7176249027252197},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6123409271240234},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5261099934577942},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4768739342689514},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43715745210647583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4256005883216858},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08129262924194336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176249027252197},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6123409271240234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5261099934577942},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4768739342689514},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43715745210647583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4256005883216858},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08129262924194336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2064675550","https://openalex.org/W2153579005","https://openalex.org/W2163605009","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2563351168","https://openalex.org/W2612342472","https://openalex.org/W2792764867","https://openalex.org/W2803478834","https://openalex.org/W3023655125","https://openalex.org/W3083241648","https://openalex.org/W4294170691","https://openalex.org/W6636510571","https://openalex.org/W6682691769","https://openalex.org/W6684191040","https://openalex.org/W6685053522","https://openalex.org/W6731031554","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4293226380","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W4321487865","https://openalex.org/W2419146053","https://openalex.org/W4313906399"],"abstract_inverted_index":{"Nowadays,":[0],"there":[1],"is":[2,33,143],"a":[3,16,34,37,45,62],"rapidly":[4],"increasing":[5],"number":[6],"of":[7,18,48,104,118],"conferences":[8],"and":[9,81,95,106,147],"journals":[10],"in":[11,116,133,152],"computer":[12],"science":[13],"that":[14,40,101],"make":[15],"lot":[17],"challenges":[19],"for":[20,36,44,59],"researchers":[21,43],"to":[22,27],"find":[23],"an":[24,56],"appropriate":[25],"venue":[26],"submit":[28],"their":[29],"scientific":[30],"work.":[31],"There":[32],"need":[35],"recommendation":[38,63],"system":[39],"can":[41,111],"support":[42],"better":[46],"process":[47],"paper":[49],"submission.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"present":[55],"efficient":[57],"approach":[58],"building":[60],"such":[61],"model":[64],"by":[65,76,87,138],"using":[66,139],"embedding":[67],"methods,":[68],"Global":[69],"Vector":[70],"(GloVe)":[71],"<sup":[72,83],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[73,84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[74],"created":[75],"Pennington":[77],"et":[78],"al.":[79],"[1]":[80],"FastText":[82,142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[85],"proposed":[86],"Facebook":[88],"[2],":[89],"Convolutional":[90],"Neural":[91],"Network":[92],"(CNN)":[93],"[3],":[94],"LSTM.":[96],"The":[97],"experimental":[98],"results":[99],"show":[100],"the":[102,113,119,128,136],"combination":[103],"CNNs":[105],"FastText,":[107,110],"CNN":[108],"+":[109],"achieve":[112],"best":[114],"performance":[115,137],"terms":[117],"Top":[120],"1":[121],"Accuracy":[122],"compared":[123],"with":[124],"other":[125],"techniques,":[126],"including":[127],"S2RSCS":[129,151],"model,":[130],"as":[131],"presented":[132],"[4].":[134],"Moreover,":[135],"GloVe":[140],"or":[141],"much":[144],"better,":[145],"faster,":[146],"more":[148],"stable":[149],"than":[150],"most":[153],"cases.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
