Recommendation method and network equipment

A recommendation method and user-based technology, applied in the field of communication, can solve problems such as inability to effectively recommend objects of interest to users, single recommended objects, and difficult keywords to truly and completely reflect user behavior preferences.

Inactive Publication Date: 2017-08-29
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is that the existing keyword-based recommendation method is difficult to truly and completely reflect the user's behavior preferences, resulting in a single

Method used

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  • Recommendation method and network equipment
  • Recommendation method and network equipment
  • Recommendation method and network equipment

Examples

Experimental program
Comparison scheme
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no. 1 example

[0045] This example provides a recommended method, please refer to figure 1 , figure 1 A schematic flow chart of a recommended method provided in the first embodiment of the present invention, including:

[0046] S11: Establish a topic model of the object to be recommended through a topic model algorithm.

[0047] In this embodiment, the topic model of the object to be recommended can be obtained through corresponding topic model algorithm training. The topic model algorithm here includes but is not limited to PLSA (Probabilistic Latent Semantic Analysis, probabilistic latent semantic analysis), LDA (Latent Dirichlet Allocation, implicit including the Dirichlet assignment), etc. In this embodiment, the objects to be recommended are generally based on some or all of the objects under the same platform. It should be understood that when multiple platforms perform information integration or information sharing, the objects to be recommended can also be from different platforms....

no. 2 example

[0080] This embodiment provides a recommendation method on the basis of the first embodiment, please refer to figure 2 , figure 2 A schematic flowchart of a recommended method provided in the second embodiment of the present invention, including:

[0081] S21: Establish the topic model of the object to be recommended through the topic model algorithm, the topic model includes the topic type of the object to be recommended and the weight of the object to be recommended under the topic type, and the topic type includes at least two elements with semantic associations.

[0082] For the above step S21, it is similar to step S11 in the first embodiment, please refer to the description of step S11 in the first embodiment, and will not repeat it here.

[0083] S22: Calculate the user's preference weight for each topic type based on the user's historical operation records.

[0084] In this embodiment, the user history operation record can be the object that the user has operated,...

no. 3 example

[0111] Please refer to Figure 4 , Figure 4 It is a schematic structural diagram of a network device provided in the third embodiment of the present invention,

[0112] Model building module 41, is used for setting up the theme model of object to be recommended, and this theme model includes the theme type of object to be recommended and the weight of object to be recommended under this theme type, and theme type includes at least two elements with semantic association.

[0113] In this embodiment, the model building module 41 can be realized by corresponding topic model algorithms, including but not limited to PLSA, LDA and so on. The model building module 41 can establish the topic model of the corresponding object to be recommended under the platform for a platform. Of course, when multiple platforms perform information integration or sharing, the model building module 41 can also establish the topic of all objects to be recommended for different platforms. Model.

[01...

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Abstract

The invention discloses a recommendation method and network equipment. Through a topic model algorithm, a topic model of an object to be recommended is established, the topic model includes a topic type of the object to be recommended and the weight of the object to be recommended under the topic type, and the topic type includes at least two elements with semantic association relations; the similarity between the topic model of the object to be recommended and a preference feature model of a user is calculated, wherein the preference feature model of the user is obtained by calculation on the basis of historical operation records of the user under a platform to which the object to be recommended belongs; when the similarity between the topic model of the object to be recommended and the preference feature model of the user reaches a preset threshold value, the object to be recommended is recommended to the user. The problem is solved that currently, when recommendation is conducted on the basis of keywords, it is difficult for extracted keywords to accurately and comprehensively reflect behavioral preferences of the user, the requirements of the user can be more comprehensively met, the preferences of the user can be more comprehensively satisfied, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of communication, and more specifically, to a recommendation method and network equipment. Background technique [0002] In recent years, with the vigorous development of mobile Internet, e-commerce, and Internet of Things technologies, various data platforms or databases store a large amount of various data information, which can almost include all kinds of information that people want to obtain. Although the huge amount of data provides the possibility for users to obtain and use it, how to filter out the information that users really need from such a large amount of data information is also a very difficult and urgent problem to be solved, because users may need to spend a lot of time and effort on Analysis and screening may even miss the content information that the user really needs or is interested in due to improper user search methods, seriously affecting the user experience. [0003] In ord...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3344G06F16/9535
Inventor 姬晨杨玉林
Owner NUBIA TECHNOLOGY CO LTD
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