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.

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}
}