Toy Python program illustrating the vector space model of documents
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documents Refactoring and bug fixes. Jul 7, 2011
.gitignore First commit. Jul 7, 2011 Refactoring, and added Jul 7, 2011 Refactoring. Jul 7, 2011

The vector space model for documents

The program implements a toy search engine to illustrate the vector space model for documents.

The program asks you to enter a search query, and then returns all documents matching the query, in decreasing order of cosine similarity, according to the vector space model.

The document corpus consists of just four documents, which are product descriptions of popular books, taken from