PowerSR


      This is a Display Demo for Power Series Representation based on Human Concept Learning.It offers users a novel searching experience that is different from general search engines. It can make computers/machines understand users’ requirement not only through the keywords given by users but also through the relations between keywords. Each webpage/text returned by this demo is displayed as a power series representation based on human concept learning, which contains text assertions and association rules. Herein, text assertions refer to the common-sense words that are easy to be understood. Moreover, users can also learn from the responses so as to fix their requests to be better understood by the computer, for our demo allows them to select keywords or association rules from the search results. In addition, the data set of this demo is collected from reuter.com including 14627 pieces of news focusing on health area.

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