Method and device for determining user preference degree
A technology of preference degree and determination method, which is applied in the computer field, can solve the problems that are not conducive to horizontal comparison of users' preference degrees for different preferences, and achieve the effect of reducing specificity and improving universality
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Embodiment 1
[0050]As mentioned above, when determining the user’s preference degree, the determination method for each preference degree is different. For example, to determine the user’s preference degree for basketball, it is necessary to obtain the number of times the user browses basketball news in the historical behavior, The number and duration of watching basketball videos, and the online duration of basketball games may also be paid attention to. When processing these historical behavior data, the degree of preference for basketball will be determined through a predetermined weight ratio. Specifically, basketball videos have the highest weight, basketball news times In short, basketball games are the most frequent. However, when determining the user's preference for billiards, it may be necessary to obtain the duration of browsing news in the user's historical behavior, the estimated online duration of billiard games, etc., and use another set of predetermined weight ratios (for ex...
Embodiment 2
[0086] Based on the same inventive concept, Embodiment 2 provides a device for determining a degree of preference, which is used to improve the generality of determining the degree of user preference based on user historical behavior data. figure 2 is a structural block diagram of the device, which includes: a data extraction unit 21, a probability determination unit 22, a distance determination unit 23, and a preference value determination unit 24, wherein:
[0087] The data extraction unit 21 can be used to extract the user's historical behavior data and condition data, the historical behavior data includes preference features that need to determine the degree of preference, and the condition data includes data that affects the occurrence of preference features;
[0088] The probability determination unit 22 can be used to determine the first occurrence probability of the preference feature according to the historical behavior data and the condition data; and determine the s...
Embodiment 3
[0105] Based on the same inventive idea. The embodiment of the present application provides a method for determining a user's preference degree for ordering food delivery in rainy days. When determining the user preference degree based on the user's historical behavior data, the particularity between different preferences is reduced and the generality is improved. The flow chart of the method is shown in image 3 shown, including the following steps:
[0106] Step 31: Obtain the original user historical behavior data within one month, and the original weather data within one month.
[0107] A user's raw order data can be obtained from a food delivery app, and raw weather data can be obtained from a weather-related website.
[0108] Step 32: Format the original user historical behavior data and original weather data.
[0109] Remarks, taste options, delivery time, etc. in the original order data can be removed; nighttime temperature, air volume, etc. can be removed in the or...
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