| Web2.0 makes more and more Internet users to become Internet content creators. However, while people enjoy the convenience of internet information, they feel the disturbance. People can't afford too much information, and feel lost in highly redundant information.The background of this thesis is Websites provide review services. The object is reviews information. The purpose is to solve problems mentioned above. The content is researching on information ordering model and methods. This thesis first proposes the purpose and meaning of this research, then summarizes the study of domestic and foreign scholars in reviews and information ordering fields, and analyses the internal review site features and user requirements deeply. After that, the thesis puts forward the concept of reviews order and ordering, and proposed the levels and classification of review information ordering. This thesis uses time entropy and view cover rate as degree of order metrics based on users'timeliness, comprehensiveness requirements. This thesis also researches on surface ordering methods and content ordering methods of the reviews information. Finally, an example is selected to show reviews information ordering process. After the process, the result is evaluated by time entropy and view cover rate methods and it is confirmed that after the ordering process using methods proposed in this thesis, the result's degree of order is remarkably better than before. |
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