Keyword calculation method and device based on user browse and search actions
A calculation method and a technology of a calculation device, applied in the field of Internet applications, can solve problems such as strong randomness of interest, time-consuming calculation resources, randomness of keyword calculation results, etc., and achieve effective promotion, low cost, and accurate user classification results.
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Embodiment 1
[0052] In this embodiment, user Q's browsing and search behavior data are divided into three categories: webpage data (type A data) with other users' search words jumping, webpage data without other users' search words jumping (type B data), The search word data (type C data) entered by user Q when using the search engine directly, of which type A and type B data belong to user Q’s browsing behavior data, and type C data belong to user Q’s search behavior data.
[0053] figure 2 It is a schematic diagram of a keyword calculation method based on user browsing and searching behavior provided by Embodiment 1 of the present invention. see figure 2 In this embodiment, the keyword calculation method based on user Q's browsing and searching behavior is elaborated as follows.
[0054] The keyword calculation process of user Q's browsing behavior W1 can be divided into A-type data keyword calculation process S11 and B-type data keyword calculation process S12.
[0055] For the key...
Embodiment 2
[0072] The classification of user Q behavior data in this embodiment is the same as that in Embodiment 1, and will not be repeated here.
[0073] image 3 It is a schematic diagram of a keyword calculation device based on user browsing and searching behavior provided by Embodiment 2 of the present invention. see image 3 , the device includes: a first type of user keyword calculation module 21, used to calculate and generate the first type of user Q keyword; a second type of user keyword calculation module 22, used to calculate and generate the second type of user Q keyword; The third type of user keyword calculation module 23 is used to calculate and generate the third type of user Q keywords; the fusion module 24 is used to merge and fuse the generated first, second, and third types of user Q keywords to generate unified users Q keywords; ranking and selection module 25, used to sort and select each keyword in the unified user Q keywords, and finally obtain keywords reflec...
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Abstract
Description
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Application Information
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