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DOI: 10.14569/IJACSA.2014.050511
PDF

The Effect of Diversity Implementation on Precision in Multicriteria Collaborative Filtering

Author 1: Wiranto
Author 2: Edi Winarko
Author 3: Sri Hartati
Author 4: Retantyo Wardoyo

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 5, 2014.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: This research was triggered by the criticism on the emergence of homogeneity in recommendation within the collaborative filtering based recommender systems that put similarity as the main principle in the algorithm. To overcome the problem of homogeneity, this study proposes a novelty, i.e. the diversity of recommendations applied to the multicriteria collaborative filtering-based document recommender systems. Development of the diversity recommendation was made by the two techniques, the first is to compare the similarity of content and the second is to use a variation of the criteria. The application of diversity, both content and criteria-based, was proven to provide a sufficiently significant influence on the increase of recommendation precision.

Keywords: Algorithms; multicriteria; content; collaborative; filtering; systems; similarity; diversity; precision

Wiranto , Edi Winarko, Sri Hartati and Retantyo Wardoyo, “The Effect of Diversity Implementation on Precision in Multicriteria Collaborative Filtering” International Journal of Advanced Computer Science and Applications(IJACSA), 5(5), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050511

@article{2014,
title = {The Effect of Diversity Implementation on Precision in Multicriteria Collaborative Filtering},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050511},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050511},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {5},
author = {Wiranto and Edi Winarko and Sri Hartati and Retantyo Wardoyo}
}



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.

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