Search Results for "vector space"

... trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). This method can be used to create the user-defined classes by merging texts of certain categories and then to calculate the relevant distances between the documents, but this is not necessary.

This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.

An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.