{"id":"https://openalex.org/W3045159689","doi":"https://doi.org/10.20895/infotel.v12i2.470","title":"Increased Accuracy Of Sequence To Sequence Models With The CNN Algorithm For Multi Response Ranking On Travel Service Conversations Based On Chat History","display_name":"Increased Accuracy Of Sequence To Sequence Models With The CNN Algorithm For Multi Response Ranking On Travel Service Conversations Based On Chat History","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3045159689","doi":"https://doi.org/10.20895/infotel.v12i2.470","mag":"3045159689"},"language":"en","primary_location":{"id":"doi:10.20895/infotel.v12i2.470","doi":"https://doi.org/10.20895/infotel.v12i2.470","is_oa":true,"landing_page_url":"https://doi.org/10.20895/infotel.v12i2.470","pdf_url":"https://ejournal.st3telkom.ac.id/index.php/infotel/article/download/470/282","source":{"id":"https://openalex.org/S4210188896","display_name":"JURNAL INFOTEL","issn_l":"2085-3688","issn":["2085-3688","2460-0997"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314976","host_organization_name":"LPPM Institut Teknologi Telkom Purwokerto","host_organization_lineage":["https://openalex.org/P4310314976"],"host_organization_lineage_names":["LPPM Institut Teknologi Telkom Purwokerto"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JURNAL INFOTEL","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ejournal.st3telkom.ac.id/index.php/infotel/article/download/470/282","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052731907","display_name":"Wahyu Wijaya Widiyanto","orcid":"https://orcid.org/0000-0002-8691-908X","observed_orcids":["https://orcid.org/0000-0002-8691-908X"]},"institutions":[{"id":"https://openalex.org/I4405273531","display_name":"Politeknik Indonusa Surakarta","ror":"https://ror.org/00046gq65","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405273531"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Wahyu Wijaya Widiyanto","raw_affiliation_strings":["Polytechnic Indonusa Surakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnic Indonusa Surakarta","institution_ids":["https://openalex.org/I4405273531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045049590","display_name":"Uli Rizki","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4400573182","display_name":"Universitas Amikom Yogyakarta","ror":"https://ror.org/00j65mz88","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573182"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Uli Rizki","raw_affiliation_strings":["Universitas Amikom Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Amikom Yogyakarta","institution_ids":["https://openalex.org/I4400573182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013765899","display_name":"Edy Susena","orcid":"https://orcid.org/0000-0002-6333-7108","observed_orcids":["https://orcid.org/0000-0002-6333-7108"]},"institutions":[{"id":"https://openalex.org/I4405273531","display_name":"Politeknik Indonusa Surakarta","ror":"https://ror.org/00046gq65","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405273531"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Edy Susena","raw_affiliation_strings":["Polytechnic Indonusa Surakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnic Indonusa Surakarta","institution_ids":["https://openalex.org/I4405273531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1000000,"currency":"IDR","value_usd":65},"apc_paid":{"value":1000000,"currency":"IDR","value_usd":65},"fwci":0.0837,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39968171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"12","issue":"2","first_page":"39","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6079000234603882,"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":0.6079000234603882,"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":0.14920000731945038,"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/T12128","display_name":"AI in Service Interactions","score":0.1151999980211258,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence-to-sequence-models","display_name":"sequence-to-sequence models","score":0.7609999775886536},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7549999952316284},{"id":"https://openalex.org/keywords/chat-history","display_name":"chat history","score":0.7789999842643738},{"id":"https://openalex.org/keywords/question-answer-matching","display_name":"question-answer matching","score":0.6039999723434448},{"id":"https://openalex.org/keywords/answer-consistency","display_name":"answer consistency","score":0.7739999890327454}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7861508727073669},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7810300588607788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150005102157593},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6672505736351013},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.5766010880470276},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5626095533370972},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5535587668418884},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48435553908348083},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4753032624721527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.472074031829834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4584045708179474},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.42794084548950195},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.42290306091308594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38287216424942017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35077816247940063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1303303837776184},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.20895/infotel.v12i2.470","doi":"https://doi.org/10.20895/infotel.v12i2.470","is_oa":true,"landing_page_url":"https://doi.org/10.20895/infotel.v12i2.470","pdf_url":"https://ejournal.st3telkom.ac.id/index.php/infotel/article/download/470/282","source":{"id":"https://openalex.org/S4210188896","display_name":"JURNAL INFOTEL","issn_l":"2085-3688","issn":["2085-3688","2460-0997"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314976","host_organization_name":"LPPM Institut Teknologi Telkom Purwokerto","host_organization_lineage":["https://openalex.org/P4310314976"],"host_organization_lineage_names":["LPPM Institut Teknologi Telkom Purwokerto"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JURNAL INFOTEL","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:195d6042aa7b41df886fa11f8cde21d8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/195d6042aa7b41df886fa11f8cde21d8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jurnal Infotel, Vol 12, Iss 2, Pp 39-44 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.20895/infotel.v12i2.470","doi":"https://doi.org/10.20895/infotel.v12i2.470","is_oa":true,"landing_page_url":"https://doi.org/10.20895/infotel.v12i2.470","pdf_url":"https://ejournal.st3telkom.ac.id/index.php/infotel/article/download/470/282","source":{"id":"https://openalex.org/S4210188896","display_name":"JURNAL INFOTEL","issn_l":"2085-3688","issn":["2085-3688","2460-0997"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314976","host_organization_name":"LPPM Institut Teknologi Telkom Purwokerto","host_organization_lineage":["https://openalex.org/P4310314976"],"host_organization_lineage_names":["LPPM Institut Teknologi Telkom Purwokerto"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JURNAL INFOTEL","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045159689.pdf","grobid_xml":"https://content.openalex.org/works/W3045159689.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2031049553","https://openalex.org/W2561158378","https://openalex.org/W2573143556","https://openalex.org/W2739634080","https://openalex.org/W2769216919","https://openalex.org/W2798392716","https://openalex.org/W2799201288","https://openalex.org/W2891416139","https://openalex.org/W2899075954","https://openalex.org/W3001724661","https://openalex.org/W3010043528","https://openalex.org/W4229749918","https://openalex.org/W4255958460"],"related_works":["https://openalex.org/W3011300079","https://openalex.org/W2573143556","https://openalex.org/W2927821035","https://openalex.org/W4401482444","https://openalex.org/W7017442636","https://openalex.org/W3036400793","https://openalex.org/W4388460483","https://openalex.org/W3141810750","https://openalex.org/W2891416139","https://openalex.org/W2787462651"],"abstract_inverted_index":{"Building":[0],"a":[1,63,104,120,140,164],"chatbot":[2],"cannot":[3],"be":[4,14,92,117,178],"separated":[5],"from":[6,16,36,112],"the":[7,23,42,51,85,89,102,113,126,132,135,151,155,160,167,185],"knowledge":[8,11,46],"base.":[9],"The":[10,79,137],"base":[12],"can":[13,116],"obtained":[15],"data":[17,43],"that":[18,26,128],"has":[19],"been":[20,28],"labeled":[21],"by":[22,88,119],"developer,":[24],"documents":[25],"have":[27],"converted":[29],"into":[30],"pre-processing":[31],"data,":[32],"or":[33],"information":[34],"taken":[35],"social":[37],"media.":[38],"In":[39,50],"this":[40,158,188,193],"case,":[41],"used":[44],"as":[45,163],"is":[47,98,131,154],"chat":[48,52,143],"history.":[49],"history":[53,144],"there":[54],"are":[55],"certainly":[56,145],"many":[57,69,147],"variations":[58],"of":[59,81,83,134,139,142,187,198],"answers":[60,111],"and":[61,106,110],"allowing":[62],"question":[64,105],"to":[65,68,100,122,166,174],"give":[66],"rise":[67],"answers.":[70,136],"To":[71],"overcome":[72],"these":[73],"multi":[74],"responses,":[75],"response":[76,86],"was":[77],"made.":[78],"existence":[80,138],"ranking,":[82],"course":[84],"desired":[87],"user":[90],"will":[91,129,177],"more":[93],"appropriate.":[94],"Challenge":[95],"in":[96],"ranking":[97,181],"how":[99],"get":[101],"essence":[103,153],"find":[107],"pairs":[108],"questions":[109],"data.":[114],"This":[115,169],"solved":[118],"sequence":[121,123,173,175],"model.":[124,189],"However,":[125],"problem":[127],"arise":[130],"consistency":[133],"lot":[141],"raises":[146],"explanations,":[148],"even":[149],"though":[150],"question's":[152],"same.":[156],"For":[157],"reason":[159],"CNN":[161],"algorithm":[162],"solution":[165],"problem.":[168],"research":[170],"uses":[171],"convolutional":[172],"which":[176],"applied":[179],"for":[180],"responses.":[182],"We":[183],"compare":[184],"efficiency":[186],"By":[190],"making":[191],"comparisons,":[192],"model":[194],"shows":[195],"an":[196],"accuracy":[197],"86.7%":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2020-07-29T00:00:00"}
