Abstract:
Information retrieval is one of the retrieval
systems which is browsing through documents and
searching for specific information. Information
retrieval systems are used to find the relevant
information from the unstructured data or
records. The system is intended to understand the
information retrieval system by using the
generalized vector space model and vector space
model. The main purpose of this system is to store
and index digital documents and then retrieve the
information according to user’s query. Two
models with cosine similarity coefficient are used
to search the relevant documents. The system
retrieves the PSC thesis paper according to the
user query by comparing these two models. Then,
the system compares the GVSM’s ranked results
with the VSM’s ranked results. In the system, 546
documents are stored in database and tested with
various threshold values. According to the overall
results, the GVSM’s recall value is better than that
of VSM and the VSM’s precision value is better
than that of GVSM. So, GVSM can generate more
similar results than VSM.
