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