E-learning Document Search Method with Supplemental Keywords Derived from Keywords in Meta-Tag and Descriptions which are Included in the Header of the First Search Result

Abstract: Optimization method for e-learning document search with keywords which are derived from the keywords and descriptions in the meta-tag of web search results together with thesaurus engine is proposed. 15 to 20% of improvement on hit rate of search performance is confirmed with the proposed search engine.

Kohei Arai and Herman Tolle. “E-learning Document Search Method with Supplemental Keywords Derived from Keywords in Meta-Tag and Descriptions which are Included in the Header of the First Search Result”. International Journal of Advanced Computer Science and Applications (IJACSA) 3.4 (2012). http://dx.doi.org/10.14569/IJACSA.2012.030418

@article{Arai2012,
title = {E-learning Document Search Method with Supplemental Keywords Derived from Keywords in Meta-Tag and Descriptions which are Included in the Header of the First Search Result},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030418},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030418},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {4},
author = {Kohei Arai and Herman Tolle}
}