Abstract:
Particularly, information retrieval results
as documents are typically too extensive.
Consequently, a similarity measurement between
keywords and index term is essentially performed
to facilitate searchers in accessing the required
results. Thus, this paper proposed the similarity
measurement method between words by deploying
Jaccard Coefficient. After documents are
collected, some pre-processing tasks such as stopword
removal, stemming, and handling of digits,
hyphens, punctuation, and cases of letters are
usually performed. Almost 200 documents (with
pdf formats) from UCSYare conducted in this
system. With the help of this system, the users can
search effectively the most related documents with
their preference information without boring.
Furthermore, the performance of the proposed
similarity measurement method: Jaccard
similarity coefficient was accomplished by
employing precision, recall, and F- measure.
