Personalized recommendation method based on knowledge graph

A technology of knowledge graph and recommendation method, applied in the field of personalized recommendation based on knowledge graph, which can solve the problems of less feature dimension, less use of user and recommended object features, etc.

Inactive Publication Date: 2018-11-30
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0004] The present invention provides a personalized recommendation method based on knowledge graphs for the existing perso

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  • Personalized recommendation method based on knowledge graph
  • Personalized recommendation method based on knowledge graph
  • Personalized recommendation method based on knowledge graph

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[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following takes the recommended item as a restaurant as a specific example, and with reference to the accompanying drawings, the present invention is further described in detail.

[0029] See figure 1 , A personalized recommendation method based on knowledge graph, which specifically includes the following steps:

[0030] Step 1. Obtain the relevant attributes of users, restaurants, and restaurants and the user's preference for restaurants from the existing knowledge base, thereby establishing a restaurant knowledge map in the gourmet field.

[0031] The so-called knowledge graph is a network graph structure composed of many points and edges, in which the correlation between users and restaurants, restaurants and attributes is mapped to network edges, and the edges in the graph represent connections between two connected nodes. Knowledge graph is a graph-based data structu...

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Abstract

The invention discloses a personalized recommendation method based on a knowledge graph. The method has the advantages that the link relations among conceptual entities in the knowledge graph are utilized to measure the semantic association between every two optional nodes, a network representation learning method is used to obtain the representation vectors of the nodes in a network structure, and items are precisely recommended for users by calculating node similarity; the item recommendation based on knowledge graph feature learning is used for efficiently mining the entity features in theknowledge graph, user and recommendation object features can be well modelled, and multi-dimensional features are sufficiently utilized.

Description

technical field [0001] The invention relates to the technical fields of knowledge graph and machine learning, in particular to a personalized recommendation method based on knowledge graph. Background technique [0002] With the rapid development of Internet-related technologies, extensive data sharing has brought about exponential growth of data. However, it is becoming more and more difficult for users to find the information they need in the massive data. Therefore, for users, they need results that are more in line with personal preferences. Therefore, various factors jointly promote the research process of personalized recommendation technology. [0003] In traditional research on personalized recommendation, most works make rule-based recommendations based on user historical data to predict new user interests. Among them, recommendation algorithms can be divided into the following categories: content-based recommendation, association rule-based recommendation, and c...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 常亮匡海丽
Owner GUILIN UNIV OF ELECTRONIC TECH
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