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A food recommendation method based on archive network

A recommendation method and gourmet technology, applied in the field of big data processing, can solve the problems of capturing user preferences, difficulty, etc., and achieve the effect of comprehensive data information, excellent deployment feasibility, and accurate food recommendation results

Active Publication Date: 2022-07-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult to fully capture user preferences from the perspective of interests without referring to specific candidate food items for recommendation

Method used

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  • A food recommendation method based on archive network
  • A food recommendation method based on archive network
  • A food recommendation method based on archive network

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Embodiment Construction

[0059] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0060] like figure 1 As shown, the food recommendation method based on the archive network includes the following steps:

[0061] S1. Establish a food item knowledge map, and perform a single-hop aggregation of the food item entities to be recommended in the food item knowledge map and other entity neighbors connected by the corresponding relationship, and obtain the food item representation to be recommended;

[0062] S2. The profile net...

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Abstract

The invention discloses a food recommendation method based on an archive network. The method combines the information contained in the relationship between entities, introduces an archive network to process user long-term interest and user comment data respectively, and passes the improved LSTM sequence model. Integrate users' short-term interests, and finally determine their importance through context. Therefore, this method accommodates a large amount of related information and hidden semantics, which makes the quality of the learned user representations better, and the food recommendation results are more accurate. Excellent recommendation effect.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a food recommendation method based on an archive network. Background technique [0002] User modeling is a fundamental task of online recommender systems. In the past few decades, collaborative filtering (CF) techniques have been well studied to simulate users' long-term preferences. Traditionally, user representations are generated purely in the offline phase. Without reference to specific candidate food items for recommendation, it is difficult to fully capture user preferences from an interest perspective. SUMMARY OF THE INVENTION [0003] In view of the above-mentioned deficiencies in the prior art, the food recommendation method based on the archive network provided by the present invention can perform accurate recommendation according to the user's preference. [0004] In order to achieve the above-mentioned purpose of the invention, the technical scheme adopted in t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06Q30/06G06F16/36G06N3/04
CPCG06Q30/0255G06Q30/0631G06F16/367G06N3/049G06N3/048
Inventor 王庆先张仁建李昊杰黄庆常奥
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA