Method for meeting e-commerce scenarized search based on graph database technology
A database and scene technology, which is applied in the application field of graph database and search engine in the e-commerce scene, can solve the problems such as the difficulty of listing all the words in the title, the poor correlation between products and hot words, and the failure to appear products, etc., to improve the consumption experience, The effect of reducing difficulty and reducing the rate of no results
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Embodiment 1
[0043] Embodiment 1: as Figure 1-2 As shown, the present invention provides a technical solution, a method for satisfying e-commerce scene search based on graph database technology, including the following steps:
[0044] S1. Build a structured data model;
[0045] S2. Structuring the attributes of each commodity;
[0046] S3, increasing commonly used associated scene word information;
[0047] S4, knowledge map search;
[0048] S5. Data collection and statistics;
[0049] S6, regularly updating and associating scenes;
[0050] Based on the above technical solution, in S1, according to the brand information of the current product, the product information is extracted into a relatively structured form, and a structured data model is constructed;
[0051] In S2, the attribute information of each product is structured according to the structured form, and the structured product attribute information is stored in the graph database.
[0052] Based on the above-mentioned tec...
Embodiment 2
[0072] Embodiment 2: as Figure 1-2 As shown, the present invention provides a technical solution, a method for satisfying e-commerce scene search based on graph database technology, including the following steps:
[0073] S1. Build a structured data model;
[0074] S2. Structuring the attributes of each commodity;
[0075] S3, increasing commonly used associated scene word information;
[0076] S4, knowledge map search;
[0077] S5. Data collection and statistics;
[0078] S6, regularly updating and associating scenes;
[0079] Based on the above technical solution, in S1, according to the brand information of the current product, the product information is extracted into a relatively structured form, and a structured data model is constructed;
[0080] In S2, the attribute information of each product is structured according to the structured form, and the structured product attribute information is stored in the graph database.
[0081] Based on the above-mentioned tec...
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