Information Value-based Mobile Subscription System of Stock Information
Lin Hong-fei · Journal of Guangxi Normal University · 2010
This paper designs and implements an information value-based mobile subscription system for stock information,which specifics to the problems existing in the current stock information services,such as poor real-timeliness,insufficient accuracy and lack of personalization.The system,which uses vertical search to obtain information based on the open source tools:Lucene and Weblech,builds personalized stock ontology based on economic knowledge,and generates personalized RSS seeds through query expansion and ontology matching.The information is ranked by value,and the system also utilizes KXML to parse newsfeed to implement information subscription at the mobile terminal.The experimental results show that the stock information service provided by the system is effective.