Mucheol Kim*, Junho Kim, Mincheol Shin
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 141-147, 2020, DOI:10.31209/2019.100000135
Abstract With the trends of big data era, many people want to acquire the reliable and
refined information from web environments. However, it is difficult to find
appropriate information because the volume and complexity of web information
is increasing rapidly. So many researchers are focused on text mining and
personalized recommendation for extracting users’ interests. The proposed
approach extracted semantic relationship between scientific terminologies with
word embedding approach. We aggregated science data in BT for supporting
users’ wellness. In our experiments, query expansion is performed with
relationship between scientific terminologies with user’s intention. More >
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