PREFERENCE BASED TERM WEIGHTING FOR ARABIC FIQH DOCUMENT RANKING
Abstract: In document
retrieval, besides the suitability of query with search results, there is also
a subjective user assessment that is expected to be a deciding factor in
document ranking. This preference aspect is referred at the fiqh document
searching. People tend to prefer on certain fiqh methodology without rejecting
other fiqh methodologies. It is necessary to investigate preference factor in
addition to the relevance factor in the document ranking. Therefore, this
research proposed a method of term weighting based on preference to rank
documents according to user preference. The proposed method is also combined
with term weighting based on documents index and books index so it sees
relevance and preference aspect. The proposed method is Inverse Preference
Frequency with α value (IPFα). In this method, we calculate preference value
by IPF term weighting. Then, the preference values of terms that is equal with
the query are multiplied by α. IPFα combined with the existing weighting
methods become TF.IDF.IBF.IPFα. Experiment of the proposed method uses dataset
of several Arabic fiqh documents. Evaluation uses recall, precision, and
f-measure calculations. Proposed term weighting method is obtained to rank the
document in the right order according to user preference. It is shown from the
result with recall value reach 75%, precision 100%, and f-measure 85.7%
respectively.
Author: Khadijah Fahmi Hayati
Holle, Agus Zainal Arifin, Diana Purwitasari
Journal Code: jptkomputergg150007
