Ala Arman

Work place: KTH Royal Institute of Technology, Stockholm, SE-100 44, Sweden

E-mail: aarman@kth.se

Website:

Research Interests: Distributed Computing, Systems Architecture, Computer systems and computational processes, Software Engineering, Software

Biography

Ala Arman received his B.S.c degree in Computer Engineering at the Azad University, Najafabad Branch, Esfahan, Iran and his Msc in Software Engineering of Distributed Systems at the KTH (Royal Institute of Technology), Stockholm, Sweden. He is a PhD candidate in the University of Milan. His research interests include distributed systems, cloud computing and software engineering.

Author Articles
Improving the Efficiency of Term Weighting in Set of Dynamic Documents

By Mehdi Jabalameli Ala Arman Mohammadali Nematbakhsh

DOI: https://doi.org/10.5815/ijmecs.2015.02.06, Pub. Date: 8 Feb. 2015

In real information systems, there are few static documents. On the other hand, there are too many documents that their content change during the time that could be considered as signals to improve the quality of information retrieval. Unfortunately, considering all these changes could be time-consuming. In this paper, a method has been proposed that the time of analyzing these changes could be reduced significantly. The main idea of this method is choosing a special part of changes that do not make effective changes in the quality of information retrieval; but it could be possible to reduce the analyzing time. To evaluate the proposed method, three different datasets selected from Wikipedia. Different factors have been assessed in term weighting and the effect of the proposed method investigated on these factors. The results of empirical experiments showed that the proposed method could keep the quality of retrieved information in an acceptable rate and reduce the documents’ analysis time as a result.

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