Method and system for classifying network product functions
A product function and classification method technology, applied in the field of communication, can solve problems such as inability to support deep expansion of user classification, network products that cannot well meet the actual needs of users, and inability to further classify
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Embodiment 1
[0057] This embodiment provides a method for classifying network product functions, such as figure 1 shown, including:
[0058] Step S09: Collect the data of participating in the classification of network product functions.
[0059] Step S10: Analyzing the data participating in the classification of the network product functions, and classifying the network product functions according to the analysis results of the data participating in the classification.
[0060] Among them, network products such as Tencent, WeChat, Xunlei, etc. Network product functions such as comments in network products, accumulation of points, etc.
[0061] The classification method of network product functions can make the classification granularity of network product functions finer, network products can be classified, and can support the deep expansion of user classification, so as to better guide the design of new network products and make new designs The network products well cater to the actual...
Embodiment 2
[0063] This embodiment provides a method for classifying network product functions, such as figure 2 shown, including:
[0064] Step S09: Collect the data of participating in the classification of network product functions.
[0065] In this step, for example: to classify the 10 function points of network product 1 and the 10 function points of network product 2, the classification strategy is to classify according to the use popularity of network product functions, and the identification parameter of use popularity is the The number of times a network product function is used within a period of time (that is, a unit period). Firstly, count the data that participate in the classification of each function point of network product 1 and network product 2, such as user usage times; the statistical data set is: T1{id1[(n1,t1),(n2,t1)…], id2 [(n1,t 1),(n2,t1)…]…}; where T1 represents functional product 1, id1 and id2 represent users, users are distinguished by their mobile phone ...
Embodiment 3
[0097] Based on the classification method for network product functions provided in Embodiment 2, this embodiment provides a classification system for network product functions, such as Figure 4 As shown, it includes: a collection module 1, which is used to collect data participating in classification of network product functions. The analysis and classification module 2 is configured to analyze the data participating in the classification of network product functions, and classify the network product functions according to the analysis results of the data participating in the classification.
[0098] In this embodiment, the analyzing and categorizing module 2 includes: a first categorizing and merging unit 21 for categorizing and merging various network product functions within a unit period. The probability statistics unit 22 is configured to calculate the probability that each network product function appears in different categories through iterations of multiple unit peri...
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