This model first defined the theoretical concept

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Non-advertising is mainly used in work. I have never used it, so I can't compare it. You can choose according to your needs. I will mainly introduce the basic process to create an account, enter the model, create a t/knowledge base assistant. Researching the evaluation system does not mean that you can only look at the user evaluation module. You also need to start from the end perspective of the platform rules. The author of this article analyzes the evaluation system of the Amazon platform from end to end for your reference. What kind of evaluation is useful? In the field of information system research, m and in 2000, the M model was applied to online information transmission and communication situations, and the information reception model mt was proposed.



that the quality of information content and the iran phone number format source of information are two direct factors that affect the receiver's perception of information usefulness. The specific evaluation dimensions are shown in the figure below. In terms of information content quality factors, there are four main influencing factors: "authenticity", "accuracy", "timeliness" and "completeness"; in terms of the reliability of information sources, it is mainly evaluated through the three dimensions of "trustworthiness", "professionalism" and "user reputation". Evaluation, as a user-generated information text, is a dimension for viewers to judge the usefulness of its content.



It can also be measured from the two aspects of information content quality and information source. Therefore, we can analyze Amazon's evaluation system from the overall framework of the information acceptance model. 2. Research and analysis of Amazon's evaluation-related functions E-commerce evaluation involves multiple roles such as merchants, users, platforms, etc. There are many conflicts of interest, such as "peer competition between competing merchants", "merchants' pursuit of transaction maximization and users' pursuit of low transaction risks", etc. Observing and studying e-commerce reviews requires not only seeing the most intuitive end functions, but also starting from the end perspective and platform rules and other dimensions; therefore, this special analysis and research on Amazon reviews will also be carried out from three aspects: "evaluation rules and policies", "end link functions" and "end review invitation functions".