Article sorting method and device, computer equipment and readable storage medium
A sorting method and computer program technology, applied in the field of data analysis, can solve problems such as difficulty in ranking rankings
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Embodiment 1
[0029] According to the inventors, it has the advantage of the prior art in conventional articles to improve the ranking of the ranking than the hot articles, the final analysis is subjectively arbitrary due to the setting of weight values, resulting in the calculation of the heat value. Subjective Assembly, lack of statistical basis. The traditional Ero-Rating algorithm is used to evaluate the level of both parties in the game activities, which is currently widely used in competitive sports such as chess, Go, football, basketball and e-sports. The algorithm will give each player a grade, according to the number of the two parties, the number of expectations of the two sides can predict the results of the two parties, according to the actual competition, how to adjust the two parties, the characteristics are: 1) The actual results and competitions of the game When the expected result is inconsistent, the larger the fractional gap between the two parties, the larger the score adjus...
Embodiment 2
[0071] Embodiment 2 of the present invention provides an article sorting device, the sequencement device corresponds to the above embodiment, and the corresponding technical features and technical effects are not detailed in this embodiment, and it can be referred to the above implementation. Example. specifically, image 3 A block diagram of an article sorting device according to Embodiment 2 of the present invention is shown schematically, such as image 3 As shown, this article sorting device 300 can include acquisition module 301, determining module 302, a categorizing module 303, a first update module 304, a second update module 305, and a sorting module 306, wherein:
[0072] Get module 301 for acquiring M article exposed articles;
[0073] Determine module 302 for determining the operational data and grade score of each exposed article within the preset time;
[0074] The categorization module 303 is used to classify the M article in accordance with the operational data into ...
Embodiment 3
[0088] Figure 4 A block diagram of a computer device suitable for implementing an article in accordance with Embodiment 3 of the present invention is shown schematically. In this embodiment, computer device 400 can be a smartphone, tablet, laptop, desktop computer, rack server, blade server, tower server or cabinet server, or multiple servers, or multiple servers, or multiple servers, or multiple Server clusters composed of servers, etc. Such as Figure 4 As shown, the computer device 400 of the present embodiment includes at least comprise, but not limited to, memory 401, processor 402, and network interface 403 that can communicate with each other through the system bus. It should be pointed out that Figure 4 Only computer device 400 with components 401-403 is shown, but it should be understood that all displayed components are not required to replace more or less components.
[0089] In this embodiment, the memory 403 includes at least one type of computer readable storage medi...
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