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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
A New Personalized Recommendation Technique Based on the Modified TOPSIS Method
Digital Object Identifier (DOI) : 10.14569/IJACSA.2010.010202
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 1 Issue 2, 2010.
Abstract: Personalized recommendation service helping users to target the interesting information from the excessive information set has been widely concerned. In this paper, we firstly propose a new method named Modified TOPSIS Method utilizing the Improved Gray Correlation Analysis Method. Then, we present a new personalized recommendation technique based on the Modified TOPSIS Method. Finally, the verification method utilizing Spearman’s Rank Correlation Coefficient demonstrates that our new personalized recommendation technique is efficient.
Keywords: Personalized Recommendation Technique; Improved Gray Correlation Analysis; Modified TOPSIS Method.
Guan-Dao Yang and Lu Sun, “A New Personalized Recommendation Technique Based on the Modified TOPSIS Method ” International Journal of Advanced Computer Science and Applications(IJACSA), 1(2), 2010. http://dx.doi.org/10.14569/IJACSA.2010.010202
@article{2010,
title = {A New Personalized Recommendation Technique Based on the Modified TOPSIS Method
},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2010.010202},
url = {http://dx.doi.org/10.14569/IJACSA.2010.010202},
year = {2010},
publisher = {The Science and Information Organization},
volume = {1},
number = {2},
author = {Guan-Dao Yang and Lu Sun},
}
