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Nowadays the research on user model built in digital library for personalization service is lack of the collection of user context information. The paper analyses the Contextualized Attention Metadata(CAM), and constructs a CAM template to collect the user behavior context information. Depending on the information, a semantic context model of digital library is dynamically built.
This paper presents a new method to automatically add n-grams containing out-of-vocabulary (OOV) words to a baseline language model (LM), where these n-grams are sought to be grammatically correct and to make sense according to the meaning of OOV words. First, this method consists in determining the word sequences, i.e., n-grams, in which the usage of a given OOV word is the most semantically consistent...
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