Information Retrieval Boosted by Category for Troubleshooting Search System.
Bin Tong, Toshihiko Yanase, Hiroaki Ozaki, Makoto Iwayama · 2015
Troubleshooting search system aims at extracting relevant information to solve the problem at hand. It is often the case that documents in troubleshooting system includes an abundant amount of domain-speci c categories. However, the useful information about the domain-speci c categories, such as relationship between words and categories and relationship between categories, is not fully utilized in simple query search and faceted search. In this paper, we propose an information retrieval method boosted by the domainspeci c categories. Given a problem query and categories, the troubleshooting search system is able to retrieve the relevant information of interest with respect to the selected categories. The experiment results show our proposal improves the recall.