singsing215 / SVD-and-Truncated-SVD

SVD-and-Truncated-SVD

1. Calculate the tf-idf feature vectors from doc file to obtain the document-to-term matrix
2. Apply truncated SVD to the document-to-term matrix with k=2 to obtain the representation of reduced dimension for each of the documents
3. Convert the query 𝒒={attract, TV, program} to its representation of the reduced dimension
4. Rank the four documents accordingly