@article{2161,
  author = {Pijitra Jomsri},
  title = {A Combination Indexing for Image Social Bookmarking System to Improve Search Results},
  journal = {Journal of Digital Information Management},
  year = {2016},
  volume = {14},
  number = {6},
  doi = {},
  url = {http://dline.info/fpaper/jdim/v14i6/jdimv14i6_8.pdf},
  abstract = {Web 3.0 and social bookmarking have
altered the traditional roles of the indexer and user.
Recently, web, allows users to create, organize, and
search for images and other information sources through
social tagging and other method activities. One of the
image social bookmarking is such as Flickr. This
research examines to increase the efficiency of image
search result by creating indexes. The assumption of the
experiment is a combination of social tagging and other
factor such as image description that can improve web
performance. Therefore, three indexers were created and
were compared with the search results between a search
engine using the indexing method of "Description with Tag"
or DT indexer, "Posted Time With Tag" or PT indexer and
the "Tag only" or T indexer which is a native method. The
retrieval performance of this search engine is evaluated
using the mean values of Normalized Discount Cumulative
Gain (NDCG). The result illustrates that the search engine
with indexer using DT indexer provides better indexer using
the T indexer in all the ranks. This primary evaluation in
the experiments proves that the chosen heuristic indexer
can improve the efficiency of the web image searching
on social bookmarking websites.},
}