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Delicious food recommendation method based on archive network

A recommendation method, food technology, applied in the field of big data processing, can solve difficult problems, capture user preferences, etc.

Active Publication Date: 2021-01-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • 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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  • Delicious food recommendation method based on archive network
  • Delicious food recommendation method based on archive network
  • Delicious food recommendation method based on archive network

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Embodiment Construction

[0059] The specific embodiments of the present invention are described below so that those skilled in the art can 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 of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

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

[0061] S1. Establish a food item knowledge map, perform single-hop aggregation between the food item entity 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. Use...

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Abstract

The invention discloses a delicious food recommendation method based on an archive network, and the method combines the information contained in the relations between entities, introduces the archivenetwork to process the long-term interest of users and the comment data of the users, and fuses the short-term interest of the users through an improved LSTM sequence model. Finally, the importance degrees of the users are determined through the context, so that the method contains a large amount of associated information and hidden semantics, the user representation quality obtained through learning is better, the delicious food recommendation result is more accurate, and the invention has deployment feasibility and an 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 in online recommender systems. In the past few decades, collaborative filtering (CF) techniques have been well studied to model long-term preferences of users. Traditionally, user representations are generated purely in the offline phase. It is difficult to fully capture user preferences from the perspective of interests without referring to specific candidate gastronomic items for recommendation. Contents 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 make accurate recommendations according to the user's preferences. [0004] In order to achieve the above-mentioned purpose of the invention, the technical scheme ad...

Claims

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Application Information

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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