An Approach for the Implementation of Personalization Recommendation of Text Information Retrieval With TextCC

To implement personalization recommendation of text information retrieval (TR) based in user-focus, TextCC, a feedforward neural network for instantly classification is adopted to classify query results according to user-focuses of a user in the paper. Experimental results show that the implementation of personalization recommendation with TextCC can lighten the user's burden induced by the work of filtering valid information from vast information in some degree while the time requirement of TR is satisfied very well