List recommendation method, computing device and computer storage medium
A recommendation method and technology of computing equipment, applied in the computer field, can solve problems such as failure to attract users to view books, failure to meet user needs, low recommendation accuracy, etc., and achieve the effect of improving the possibility of viewing lists and personalized list recommendations
Pending Publication Date: 2021-09-03
ZHANGYUE TECH CO LTD
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Problems solved by technology
In order to recommend books to users conveniently, e-book applications usually have a list, but the inventor found in the process of implementing the present invention that the list used when recommending books to users in the prior art is the same, that is, all users The number and style of the lists seen are the same, and the recommendation accuracy is low and indiscriminate, resulting in a poor user experience. In addition, some users may be confused because the recommended lists do not meet user needs. The books in the list are not of interest and cannot attract users to view the recommended books
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[0023] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.
[0024] figure 1 A schematic flowchart of a list recommendation method according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes the following steps:
[0025] Step S101, acquiring user portrait data and user historical behavior characteristic data.
[0026] The user historical behavior feature data is the data corresponding to the user's behavior in the historical time period.
[0027] User ...
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The invention discloses a list recommendation method, computing equipment and a computer storage medium. The method comprises the following steps: acquiring user portrait data and user historical behavior characteristic data; according to the user portrait data and the user historical behavior characteristic data, calculating a matching score between the user and each list to be recommended in a list pool; screening N to-be-recommended lists from a list pool according to the matching score, and determining list styles corresponding to the N to-be-recommended lists according to the matching score, wherein the value of N is determined according to the matching score, and N is greater than or equal to 1; and recommending N to-be-recommended lists to the user according to the list style. According to the scheme provided by the invention, personalized list recommendation is realized, the numbers and styles of lists recommended by different users are different, and thousands of people have thousands of faces, in addition, the N to-be-recommended lists are screened based on the matching score, so that the lists can be accurately recommended to the users, and the possibility that the users check the lists is improved.
Description
technical field [0001] The invention relates to the technical field of computers, in particular to a list recommendation method, computing equipment and computer storage media. Background technique [0002] With the increasing popularity of electronic devices, more and more users are accustomed to reading electronic books through electronic devices to replace traditional paper books. In order to recommend books to users conveniently, e-book applications usually have a list, but the inventor found in the process of implementing the present invention that the list used when recommending books to users in the prior art is the same, that is, all users The number and style of the lists seen are the same, and the recommendation accuracy is low and indiscriminate, resulting in a poor user experience. In addition, some users may be confused because the recommended lists do not meet user needs. Books in the list are not of interest and cannot attract users to view the recommended bo...
Claims
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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 王国涛
Owner ZHANGYUE TECH CO LTD