Mining social networks for personalized email prioritization

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2009, Pages 967-975

  Yoo, Shinjae ^a   Yang, Yiming ^a   Lin, Frank ^a   Moon II, Chul ^b  

^a Carnegie Mellon University ^*  (United States)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Email prioritization; Social network; Text mining

Indexed keywords

BASELINE SYSTEMS; COMMUNICATION TOOLS; DATA COLLECTION; E-MAIL OVERLOAD; EMAIL MESSAGES; EMAIL PRIORITIZATION; MULTI-USER; PERFORMANCE IMPROVEMENTS; PERSONAL E-MAIL NETWORKS; PRIORITIZATION; PRIVACY ISSUE; RELATIVE ERRORS; RESEARCH COMMUNITIES; SEMI-SUPERVISED; SOCIAL NETWORK; SOCIAL NETWORKS; STATISTICAL LEARNING METHODS; SVM CLASSIFIERS; TEST EXAMPLES; TEXT MINING; TRAINING AND TESTING; TRAINING EXAMPLE; USER GROUPS; USER NODES; VECTOR REPRESENTATIONS;

DATA ACQUISITION; DATA MINING; ENCODING (SYMBOLS); EXPERIMENTS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

ELECTRONIC MAIL;

EID: 70350660907     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557124     Document Type: Conference Paper

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