{"id":"https://openalex.org/W2952048515","doi":"https://doi.org/10.1145/3314183.3324975","title":"Real-Time Personalization in Adaptive IDEs","display_name":"Real-Time Personalization in Adaptive IDEs","publication_year":2019,"publication_date":"2019-06-06","ids":{"openalex":"https://openalex.org/W2952048515","doi":"https://doi.org/10.1145/3314183.3324975","mag":"2952048515"},"language":"en","primary_location":{"id":"doi:10.1145/3314183.3324975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314183.3324975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","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/A5079655411","display_name":"Matthias Schmidmaier","orcid":"https://orcid.org/0009-0006-8609-8716"},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Schmidmaier","raw_affiliation_strings":["fortiss GmbH, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"fortiss GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009561625","display_name":"Zhiwei Han","orcid":"https://orcid.org/0000-0002-4322-208X"},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhiwei Han","raw_affiliation_strings":["fortiss GmbH, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"fortiss GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032910445","display_name":"Thomas Weber","orcid":"https://orcid.org/0000-0002-6894-605X"},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Weber","raw_affiliation_strings":["fortiss GmbH, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"fortiss GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029815125","display_name":"Yuanting Liu","orcid":"https://orcid.org/0000-0002-8651-6272"},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuanting Liu","raw_affiliation_strings":["fortiss GmbH, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"fortiss GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072438791","display_name":"Heinrich Hu\u00dfmann","orcid":"https://orcid.org/0000-0003-1709-7905"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heinrich Hu\u00dfmann","raw_affiliation_strings":["LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079655411"],"corresponding_institution_ids":["https://openalex.org/I4210134795"],"apc_list":null,"apc_paid":null,"fwci":0.5942,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71858547,"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":"81","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9916999936103821,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9894999861717224,"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/personalization","display_name":"Personalization","score":0.7975289225578308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192131876945496},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3273129463195801},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2201642394065857}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7975289225578308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192131876945496},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3273129463195801},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2201642394065857}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314183.3324975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314183.3324975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W52770770","https://openalex.org/W1511198016","https://openalex.org/W1578592833","https://openalex.org/W1928061009","https://openalex.org/W1999171352","https://openalex.org/W2003224137","https://openalex.org/W2102970299","https://openalex.org/W2112420033","https://openalex.org/W2119850747","https://openalex.org/W2132115288","https://openalex.org/W2132920211","https://openalex.org/W2156448859","https://openalex.org/W2158195707","https://openalex.org/W2503589302","https://openalex.org/W2519411794","https://openalex.org/W2767935142","https://openalex.org/W2790505917","https://openalex.org/W2807948937","https://openalex.org/W2883179942","https://openalex.org/W2884547357"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W3172493050","https://openalex.org/W2390279801","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W2593798266","https://openalex.org/W2358668433","https://openalex.org/W2070126461"],"abstract_inverted_index":{"Integrated":[0],"Development":[1],"Environments":[2],"(IDEs)":[3],"are":[4],"used":[5],"for":[6,21,32,146],"a":[7,58,69,75,85,101,121,129,133],"varietyof":[8],"software":[9],"development":[10],"tasks.":[11],"Their":[12],"complexity":[13],"makes":[14],"them":[15],"chal-lenging":[16],"to":[17,39,106,150,160],"use":[18],"though,":[19],"especially":[20],"less":[22],"experienced":[23],"developers.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,73,99,119,131],"outline":[29],"our":[30],"approach":[31],"an":[33],"user-adaptive":[34],"IDE":[35],"that":[36],"is":[37,66,94],"able":[38],"track":[40],"the":[41,44,92,97,111,125,152],"interactions,":[42],"recognize":[43],"user's":[45,112],"intent":[46],"and":[47,49,61,116],"expertise,":[48],"provide":[50,62],"relevant,":[51],"personalized":[52,134],"recommendations":[53,149],"in":[54,68,104],"real-time.":[55],"To":[56],"obtain":[57,132],"user":[59,93,117,135],"model":[60,79,136],"recommendations,":[63],"interaction":[64],"data":[65],"processed":[67],"two-stage":[70],"process:":[71],"first,":[72],"derive":[74],"bandit":[76],"based":[77],"global":[78,126],"of":[80,87,124],"general":[81],"task":[82,108,161],"patterns":[83],"from":[84,110,157],"dataset":[86],"labeled":[88],"interactions.":[89,113],"Second,":[90],"when":[91],"working":[95],"with":[96],"IDE,":[98],"apply":[100],"pre-trained":[102],"classifier":[103],"real-time":[105],"get":[107],"labels":[109],"With":[114],"those":[115],"feedback":[118],"fine-tune":[120],"local":[122],"copy":[123],"model.":[127],"As":[128],"result,":[130],"which":[137],"provides":[138],"user-specific":[139],"recommendations.":[140],"We":[141],"finally":[142],"present":[143],"various":[144],"approaches":[145],"using":[147],"these":[148],"adapt":[151],"IDE's":[153],"interface.":[154],"Modifications":[155],"range":[156],"visual":[158],"highlighting":[159],"automation,":[162],"including":[163],"explanatory":[164],"feedback.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}