{"id":"https://openalex.org/W2809047168","doi":"https://doi.org/10.1145/3183440.3194977","title":"Semantically enhanced tag recommendation for software CQAs via deep learning","display_name":"Semantically enhanced tag recommendation for software CQAs via deep learning","publication_year":2018,"publication_date":"2018-05-27","ids":{"openalex":"https://openalex.org/W2809047168","doi":"https://doi.org/10.1145/3183440.3194977","mag":"2809047168"},"language":"en","primary_location":{"id":"doi:10.1145/3183440.3194977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183440.3194977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings","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/A5091790870","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0003-3612-7989"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087952294","display_name":"Hailong Sun","orcid":"https://orcid.org/0000-0001-7654-5574"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Sun","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051310826","display_name":"Yanfei Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Tian","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104561219","display_name":"Xudong Liu","orcid":"https://orcid.org/0009-0007-8865-3055"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.4151,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59562384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9941999912261963,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8017823696136475},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6250501871109009},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.527265191078186},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5110751390457153},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4678070545196533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4572732746601105},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43299221992492676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4237600564956665},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41852447390556335},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07258793711662292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017823696136475},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6250501871109009},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.527265191078186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5110751390457153},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4678070545196533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572732746601105},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43299221992492676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4237600564956665},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41852447390556335},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07258793711662292}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183440.3194977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183440.3194977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2075924051","https://openalex.org/W2105916773","https://openalex.org/W2600995917"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W3134737443"],"abstract_inverted_index":{"Most":[0],"software":[1,67,131],"CQAs":[2],"(e.g.":[3],"Stack":[4],"Overflow)":[5],"mainly":[6],"rely":[7],"on":[8,125],"users":[9],"to":[10,18,28,38,74,78,100],"assign":[11],"tags":[12,24,55,62],"for":[13,81,119],"posted":[14],"questions.":[15],"This":[16],"leads":[17],"many":[19],"redundant,":[20],"inconsistent":[21],"and":[22,63,85,103,133,149],"inaccurate":[23],"that":[25,52,137],"are":[26,111],"detrimental":[27],"the":[29,58,93,107],"communities.":[30],"Therefore":[31],"tag":[32],"quality":[33],"becomes":[34],"a":[35,47,88,114],"critical":[36],"challenge":[37],"deal":[39],"with.":[40],"In":[41],"this":[42],"work,":[43],"we":[44,122],"propose":[45],"STR,":[46,97],"deep":[48],"learning":[49,57],"based":[50,117],"approach":[51],"automatically":[53],"recommends":[54],"through":[56],"semantics":[59],"of":[60,96,144],"both":[61],"questions":[64,84],"in":[65,142],"such":[66],"CQAs.":[68],"First,":[69],"word":[70],"embedding":[71],"is":[72,98],"employed":[73],"convert":[75],"text":[76],"information":[77],"high-dimension":[79],"vectors":[80,110],"better":[82],"representing":[83],"tags.":[86],"Second,":[87],"Multi-tasking-like":[89],"Convolutional":[90],"Neural":[91],"Network,":[92],"core":[94],"modules":[95],"designed":[99],"capture":[101],"short":[102],"long":[104],"semantics.":[105],"Third,":[106],"learned":[108],"semantic":[109],"fed":[112],"into":[113],"gradient":[115],"descent":[116],"algorithm":[118],"classification.":[120],"Finally,":[121],"evaluate":[123],"STR":[124,138],"three":[126],"datasets":[127],"collected":[128],"from":[129],"popular":[130],"CQAs,":[132],"experimental":[134],"results":[135],"show":[136],"outperforms":[139],"state-of-the-art":[140],"approaches":[141],"terms":[143],"[email":[145,147,152],"protected],":[146],"protected]":[148,153],"F1":[150],"-":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}