Information recommendation method and device and computer readable storage medium

Abstract

The invention discloses an information recommendation method and device and a computer readable storage medium. The method comprises the following steps: acquiring a to-be-recommended information set and a multi-dimensional user portrait of a current user in a preset period in real time; filtering the to-be-recommended information set according to the historical behavior portrait and the negative shielding portrait to obtain a first to-be-recommended information sequence; according to the forward preference portrait, generating a feature sequence corresponding to each piece of to-be-recommended information in the first to-be-recommended information sequence; inputting the feature sequence into a pre-training model to obtain an estimated recommendation value corresponding to each piece of to-be-recommended information in the first to-be-recommended information sequence; sorting the to-be-recommended information in the first to-be-recommended sequence from high to low according to the corresponding estimated recommendation values to obtain a second to-be-recommended information sequence; and displaying the to-be-recommended information in the second to-be-recommended information sequence in sequence through a sorting display algorithm to obtain an information recommendation result. And the quality of the information recommendation result, the content diversity and the user interest conformity are improved.

Description

technical field [0001] The invention relates to the field of multimedia information dissemination, in particular to an information recommendation method, device and computer-readable storage medium. Background technique [0002] With the development of the Internet, the release of information has become more convenient, and the amount of information has also shown explosive growth. Traditional search engines rely on users to actively input content. When it is possible to obtain the information of interest to oneself in a timely manner among the massive amount of information, the search engine seems unable to do what it wants. As an important supplement to search engines, the recommendation system can better meet the diverse needs of users for massive information. The recommendation system infers the user's interests and preferences based on the user's attributes and behaviors, and finds content that the user may or may be interested in from the massive amount of information...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention provides an information recommendation method, device, and computer-readable storage medium. By constructing multi-dimensional user portraits, the problem of how to comprehensively construct user portraits is solved; user portraits are updated in time, and user portraits and pending information are extracted in real time. Recommend information sets to solve the problem of poor real-time performance in existing technologies; use pre-trained models and display ranking algorithms to generate recommendation results to solve the problems of incomplete interest points, lagging relevance of recommendation results, and too single content in existing technologies

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