Getting the big data from Twitter database, we analyze each twitter to prepare for information retrieval. What we are going to do is to refine the function of # and @. In other words, when users are going to mention(@) someone or discover(#) some topics, our system would recommend more appropriate persons and topics according to the content the user just inputs.
People use social media websites in their daily basis. They posted different topics for different purposes. To enhance the efficiency and effectiveness of @ and # function, we plan to develop an information retrieval system, which is able to recommend more relevant information for user. For instance, if the user types "Malaysia" before "#", the system would automatically generate a series of topics about airline or MH370.
The project has been finished, but the portofolio hasn't been perpared well yet. It will be shown as soon as possible.