Learning semantic representations using convolutional neural networks for web search

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Volumn , Issue , 2014, Pages 373-374

  Shen, Yelong ^a   He, Xiaodong ^b   Gao, Jianfeng ^b   Deng, Li ^b   Mesnil, Grégoire ^c  

^a KENT STATE UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Convolutional neural network; Semantic representation

Indexed keywords

CONVOLUTION; INFORMATION RETRIEVAL; NEURAL NETWORKS; SEARCH ENGINES; SEMANTIC WEB; SEMANTICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; VIRTUAL REALITY;

CONDITIONAL LIKELIHOOD; CONVOLUTIONAL NEURAL NETWORK; GLOBAL FEATURE VECTORS; LOCAL CONTEXTUAL INFORMATION; RETRIEVAL PERFORMANCE; SEMANTIC REPRESENTATION; STOCHASTIC GRADIENT ASCENTS; VECTOR REPRESENTATIONS;

WORLD WIDE WEB;

EID: 84990946747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2577348     Document Type: Conference Paper

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