{"id":"https://openalex.org/W1989831993","doi":"https://doi.org/10.1145/2628194.2628237","title":"Personalized classifiers","display_name":"Personalized classifiers","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1989831993","doi":"https://doi.org/10.1145/2628194.2628237","mag":"1989831993"},"language":"en","primary_location":{"id":"doi:10.1145/2628194.2628237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2628194.2628237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14","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/A5063416855","display_name":"Ramakrishna Bairi","orcid":"https://orcid.org/0009-0009-9191-3748"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]},{"id":"https://openalex.org/I2802772015","display_name":"IITB-Monash Research Academy","ror":"https://ror.org/02r3nf527","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531","https://openalex.org/I2802772015","https://openalex.org/I56590836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramakrishna B. Bairi","raw_affiliation_strings":["[IITB-Monash Research Academy, IIT Bombay, Mumbai, India]"],"affiliations":[{"raw_affiliation_string":"[IITB-Monash Research Academy, IIT Bombay, Mumbai, India]","institution_ids":["https://openalex.org/I2802772015","https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089606464","display_name":"Ganesh Ramakrishnan","orcid":"https://orcid.org/0000-0003-4533-2490"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganesh Ramakrishnan","raw_affiliation_strings":["IIT Bombay; Mumbai India"],"affiliations":[{"raw_affiliation_string":"IIT Bombay; Mumbai India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073838","display_name":"Vikas Sindhwani","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikas Sindhwani","raw_affiliation_strings":["IBM Research NY"],"affiliations":[{"raw_affiliation_string":"IBM Research NY","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063416855"],"corresponding_institution_ids":["https://openalex.org/I162827531","https://openalex.org/I2802772015"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79794145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9959999918937683,"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":0.8160288333892822},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6023414134979248},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5843478441238403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626121163368225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5198922157287598},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.4868592619895935},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4351217448711395},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14509746432304382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8160288333892822},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6023414134979248},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5843478441238403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626121163368225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5198922157287598},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.4868592619895935},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4351217448711395},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14509746432304382},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2628194.2628237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2628194.2628237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W177984263","https://openalex.org/W1565884645","https://openalex.org/W1998839399","https://openalex.org/W2106122512","https://openalex.org/W2106490775","https://openalex.org/W2112050062","https://openalex.org/W2117763124","https://openalex.org/W2123107811","https://openalex.org/W2135140174","https://openalex.org/W2149397565","https://openalex.org/W2163659824","https://openalex.org/W2952389066","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Identifying":[0],"the":[1,28,37,45,101,120,123,134,138],"right":[2],"choice":[3],"of":[4,14,47,69,88],"categories":[5,48,70],"for":[6],"organizing":[7],"and":[8,52,122],"representing":[9],"a":[10,17,64,75,107,114],"large":[11,108],"digital":[12],"library":[13],"documents":[15],"is":[16,104],"challenging":[18],"task.":[19],"A":[20],"completely":[21],"automated":[22],"approach":[23,43],"to":[24,34,44,74,128,136],"category":[25,110],"creation":[26,46],"from":[27,106,133],"underlying":[29],"collection":[30],"could":[31,49],"be":[32,50,72],"prone":[33],"noise.":[35],"On":[36],"other":[38],"hand,":[39],"an":[40,59,93],"absolutely":[41],"manual":[42],"cumbersome":[51],"expensive.":[53],"Through":[54],"this":[55],"work,":[56],"we":[57],"propose":[58,113],"intermediate":[60],"solution,":[61],"in":[62,92,126],"which,":[63],"global,":[65],"collaboratively-developed":[66],"Knowledge":[67],"Graph":[68],"can":[71],"adapted":[73],"local":[76],"document":[77,124],"categorization":[78],"problem":[79,85],"effectively.":[80],"We":[81,112],"model":[82,118,139],"our":[83],"classification":[84],"as":[86],"that":[87],"inferring":[89],"structured":[90],"labels":[91],"Associative":[94],"Markov":[95],"Network":[96],"meta-model":[97],"over":[98,119],"SVMs,":[99],"where":[100],"label":[102,121],"space":[103],"derived":[105],"global":[109],"graph.":[111],"joint":[115],"Active":[116],"Learning":[117],"spaces":[125],"order":[127],"incorporate":[129],"active":[130],"labeling":[131],"feedback":[132],"users":[135],"train":[137],"parameters.":[140]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}