Abstract:
Information Retrieval (IR) is an effective
means of retrieving the best relevant document to user
query. Nowadays, the problem of documents similarity
deals with IR is retrieving required information from
a large amount of data. In this paper we studied a
Vector Space Model (VSM) that is used in IR and
represents a document as a vector in an n-dimensional
space, where each dimensional represents a term and
measured through cosine angle between two vectors.
The objective of this paper is to retrieve the relevant
file from Myanmar news data sets using cosine
similarity measure in VSM to user's query.
Evaluations are done in terms of similarity score by
Precision, Recall and F-score.
