Learning from multi-topic web documents for contextual advertisement

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

Volumn , Issue , 2008, Pages 1051-1059

  Zhang, Yi ^a   Surendran, Arun C ^a   Platt, John C ^a   Narasimhan, Mukund ^b  

^a MICROSOFT RESEARCH   (United States)

^b MICROSOFT   (United States)

Author keywords

Contextual advertising; Opinion mining; Sensitive content detection; Sub document classification

Indexed keywords

CONTEXTUAL ADVERTISING; DETECT AND AVOID; MULTI TOPICS; MULTIPLE-INSTANCE LEARNING; OPINION MINING; SENSITIVE CONTENT DETECTION; SUB-DOCUMENT CLASSIFICATION; TEXT MININGS; TRADITIONAL LEARNING; TRAINING PAGES; WEB DOCUMENTS; WEB PAGES;

CONTENT BASED RETRIEVAL; DATA MINING; EDUCATION; INFORMATION MANAGEMENT; LABELING; MILITARY OPERATIONS; MINING; WORLD WIDE WEB;

INFORMATION RETRIEVAL SYSTEMS;

EID: 65449155187     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1402015     Document Type: Conference Paper

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