Audiovisual recommendations and systems based on information perception

Abstract

The present invention provides an audiovisual recommendation method based on information perception. The audiovisual recommendation method and system based on information perception firstly preprocess user information, movie information and user on-demand record information to form standard input data; Obtaining the program global map from the on-demand related data, and augmenting the program global map to form a user-program interaction map; learning and processing the user-program interaction map to form movie feature vectors and user feature vectors; based on movie feature vectors and user features The vector obtains the user's short-term interest and long-term interest, obtains the user's interest vector based on the short-term interest and the long-term interest, and calculates the normalized probability according to the interest vector; from large to small, a preset number of normalized probabilities are taken as the large probability data, and use the items corresponding to the high probability data as the audio-visual recommendation list, thus realizing the fusion of various heterogeneous information.

Description

Technical field [0001] The present invention involves the field of media recommendation technology and is more specific, involving an information -based audiovisual recommendation method and system. Background technique [0002] With the advent of the Internet era, the content information on various websites has exploded. Users often cannot extract valid information from massive information or choose appropriate products. The emergence of the personalized recommendation system provides users with a more efficient decision -making environment. The work in the field of recommendation algorithms has made great progress, such as content -based recommendation algorithms, collaborative filtering recommendation algorithms and hybrid recommendation algorithms. These recommendation algorithms tend to use all historical interactive data to obtain users 'long -term and static preferences for the project. However, in the field of film business, users' preferences are often dynamic. In order ...

AI Technical Summary

Problems solved by technology

[0004] In view of the above problems, the purpose of the present invention is to provide an audio-visual recommendation method based on information perception to solve the problem that most of the recommendation methods in the prior art can only obtain the user's long-term and static preferences for items, and cannot capture the user's dynamic preferences. And most of the existing methods only rely on single-layer session data, lack of auxiliary information from other layers, and are prone to cold start and data sparse problems

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