The filter (advanced filter item) optimization aims to improve the user's ability to quickly locate the required products and improve the efficiency of user retrieval. Based on this purpose, filter executive email list optimization is also carried out according to this purpose. At present, filter optimization needs to consider two issues: 1. Improve the presence of filter. There are two meanings here: improving the filter usage rate and improving the eye-catching and aesthetics of the filter's search results page display. To improve the filter's presence is to increase the number of exposure executive email list entries, so that more people know.
That the filter function is available, thereby increasing the usage rate of the filter. 2. To solve the problem of filter usage efficiency, usage efficiency is related to two aspects: one is to executive email list present visual effects , and the other is to present content logic. (1) There are two ways to solve the visual effect : one is research and reference of competing products, and the other is self-defined logic (this is a matter of opinion and executive email list depends on the ability of user research and UI interaction designers) (2) Content logic is the top priority to be solved, which content is presented, the amount of content presented is limited.
Whether human intervention is possible, and whether there are category restrictions. In the content logic, two dimensions need to be determined: Parameter items, such as color, size, executive email list popular elements, applicable crowd, etc.; The parameter value refers to the value under the parameter item, such as white, blue, and other specific values under the color. We know that the commodities in e-commerce are stored according to the category index. Each category executive email list has some specific parameter items. It is very likely that some parameter items are the same but the parameter values are different.