Generally speaking, the more the user's eyes

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rifattryo.ut11
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Joined: Mon Dec 23, 2024 6:08 am

Generally speaking, the more the user's eyes

Post by rifattryo.ut11 »

For example, some users may be very interested in a certain content, but because the content page is not displayed in a way that guides them enough, their users rarely click on related links. In this case, you can optimize the content page display method, such as adding page module navigation column related content recommendations, to increase the number of users who click on related links and increase the user's reading range. Eye movement testing refers to the use of professional equipment or software to record and analyze the user's eye movement trajectory on a certain content page.



It can reflect the user's attention to the content israel phone number example and reading focus. more interested and important the user is in that part. Therefore, through eye movement testing, you can understand the user's feelings and evaluations of the display of different content pages, so as to provide users with content page displays that are more in line with their focus.For example, some users may be very interested in a part of a certain content, but because the content page is not displayed in a way that highlights this part, their eyes are scattered on other parts.



At this time, you can optimize the content page display method, such as changing the page color, page module, page layout, etc. to improve the user's eye concentration and increase the user's reading focus. The purpose of data analysis is to discover problems and improve solutions to improve the efficiency and effectiveness of personalized content page display. The principle of data analysis is to be as comprehensive as possible, as objective as possible, as timely as possible, and as effective as possible to improve the credibility and availability of data. The difficulty of data analysis is to solve the problems of multidimensionality, multi-source, polymorphism, and variability of data to ensure the quality and availability of data.
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