Method and system for determining information similarity

A technology of similarity and information behavior, applied in the field of data processing, can solve the problem of small amount of information, and achieve the effect of increasing the amount of information and improving the accuracy rate
CN112989211AActive Publication Date: 2021-06-18BEIJING SOHU NEW MEDIA INFORMATION TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
BEIJING SOHU NEW MEDIA INFORMATION TECH
Publication Date
2021-06-18

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Abstract

The invention provides a method and a system for determining information similarity, and the method comprises the steps: sorting the consumed information of each user based on the consumed time of the information, and obtaining a corresponding first information behavior sequence; integrating the first information behavior sequences corresponding to all the users to obtain a second information behavior sequence; calculating a first similarity between each pair of information with a co-occurrence relationship in the second information behavior sequence; constructing a topological graph among the information based on the second information behavior sequence; calculating a second similarity between each pair of nodes in the topological graph by using a graph convolution algorithm; and on the basis of the first similarity between each pair of information with the co-occurrence relationship and in combination with the second similarity between each pair of nodes in the topological graph, determining the final similarity between each pair of information in the second information behavior sequence. The final similarity between the information is calculated in combination with the two modes, the number of information covered by the mode of calculating the similarity is increased, and then the accuracy of information recommendation is improved.
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Description

technical field

[0001] The invention relates to the technical field of data processing, in particular to a method and system for determining information similarity. Background technique

[0002] In the field of information recommendation, the more commonly used information recommendation algorithm is collaborative filtering algorithm. When using collaborative filtering algorithm for information recommendation, it is necessary to calculate the similarity between information.

[0003] At present, the collaborative filtering algorithm calculates the similarity between information by calculating the similarity between information according to the co-occurrence times of the information. However, in practical applications, users will generate a large number of sparse behaviors, and the co-occurrence relationship between information is too small, which will lead to a small amount of information that can be covered by the collaborative filtering algorithm, which will lead to a low ...

Claims

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