CN-121997953-A - SEO optimization method based on multilingual commodity description translation

CN121997953ACN 121997953 ACN121997953 ACN 121997953ACN-121997953-A

Abstract

The invention discloses an SEO optimization method based on multilingual commodity description translation, which relates to the technical field of data processing and comprises the steps of mining a semantic conflict mode sensitive to platform layout and generating an initial semantic vector set by combining source language commodity description to be translated, determining a structural mapping relation between the initial semantic vector set and the semantic conflict mode based on a platform preset layout template, identifying semantic fragments triggering platform layout conflict risks in the initial semantic vector set, constructing a semantic topological tree adapting to platform layout requirements based on the semantic fragments and combining the initial semantic vector set, generating semantic unit replacement combination, carrying out layout recombination on the semantic unit replacement combination according to the semantic topological tree, and generating multilingual commodity description text conforming to target E-commerce platform SEO layout rules.

Inventors

HUANG ZIPING
GUO JINGYI
Mao Lue
HUANG KAI

Assignees

岳阳礼一科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (9)

1. An SEO optimization method based on multilingual commodity description translation, comprising: Mining a semantic conflict mode sensitive to platform layout according to historical multilingual commodity description data of a target electronic commerce platform, and generating an initial semantic vector set by combining source language commodity description to be translated; based on a platform preset layout template, determining a structural mapping relation between an initial semantic vector set and a semantic conflict mode, and identifying semantic segments in the initial semantic vector set, which trigger a platform layout conflict risk; based on the semantic segments triggering the platform layout conflict risks, combining an initial semantic vector set to construct a semantic topological tree adapting to the platform layout requirements, and generating semantic unit replacement combinations capable of eliminating the layout conflict risks according to a semantic conflict mode; And carrying out layout recombination on the semantic unit replacement combination according to the semantic topological tree to generate a multi-language commodity description text conforming to the SEO layout rule of the target electronic commerce platform.
2. The SEO optimization method based on multilingual commodity description translation according to claim 1, wherein the mining of the platform layout-sensitive semantic conflict patterns comprises: generating a cross-language semantic co-occurrence network according to the historical multi-language commodity description data; determining layout sensitive abnormal nodes based on the topological stability change trend of the co-occurrence network nodes; and clustering according to the semantic conflict structural features of the layout sensitive abnormal nodes to form a layout sensitive semantic conflict mode.
3. The SEO optimization method based on multilingual commodity description translation according to claim 2, wherein said determining layout-sensitive anomaly nodes comprises: Analyzing the topology structure change of the co-occurrence network node before and after the occurrence of the historical layout violation event to obtain a topology change node; and determining the layout sensitive abnormal node based on the association degree of the semantic feature of the topology change node and the platform layout violation history.
4. The SEO optimization method based on multilingual commodity description translation according to claim 3, wherein said identifying semantic segments in the initial set of semantic vectors that trigger risk of platform layout conflicts comprises: defining a layout risk constraint rule according to the sensitive structure of the local area of the platform layout template; and extracting semantic segments triggering the platform layout conflict risks through the structural mapping relation between the initial semantic vector set and the layout risk constraint rules.
5. The method for optimizing SEO based on multi-language commodity description translation according to claim 4, wherein said defining a layout risk constraint rule comprises: extracting a high-risk semantic structure mode based on the historical layout violation data; and constructing a layout risk constraint rule through the association features of the high-risk semantic structure mode and the sensitive area of the layout template.
6. The method for optimizing SEO based on translation of a multi-language commodity description according to claim 5, wherein said constructing a semantic topology tree adapted to the layout requirements of a platform comprises: Constructing a layout risk propagation diagram according to semantic layout association relations among semantic segments triggering the platform layout conflict risks; determining the contribution degree of the layout risk of the nodes according to the layout risk diffusion path of the nodes of the layout risk propagation graph; And optimizing a node connection structure based on the node layout risk contribution degree, and generating a semantic topology tree adapting to the platform layout requirements.
7. The method for optimizing SEO based on multilingual commodity description translation according to claim 6, wherein said determining a layout risk contribution of a node comprises: acquiring a node propagation risk weight according to the node semantic propagation intensity in the history layout violation event; And calculating the node layout risk contribution degree through the node propagation risk weight and node topology connection closeness in the layout risk propagation diagram.
8. The method of claim 7, wherein generating a semantic unit replacement combination that eliminates the risk of layout conflicts comprises: determining a layout risk key node set according to the layout risk contribution degree of the semantic topological tree; mining semantic alternative units with low layout risk from historical data based on semantic features of the layout risk key nodes; and generating a semantic unit replacement combination capable of eliminating the risk of layout conflict by adopting a multi-objective combination optimization algorithm according to the semantic compatibility among the alternative units and the layout constraint rule.
9. The method for optimizing SEO based on multi-language commodity description translation according to claim 8, wherein said performing layout reorganization on semantic unit replacement combinations according to semantic topology trees comprises: determining a candidate layout path set of the semantic unit replacement combination according to the semantic topology tree; Obtaining a target layout path through suitability evaluation of the candidate layout path set and the target electronic commerce platform layout rule; and carrying out layout recombination on the semantic unit replacement combination based on the target layout path to generate a multi-language commodity description text conforming to the SEO layout rule of the target electronic commerce platform.

Description

SEO optimization method based on multilingual commodity description translation Technical Field The invention relates to the technical field of data processing, in particular to an SEO optimization method based on multilingual commodity description translation. Background Along with the continuous improvement of the internationalization degree of electronic commerce, the accurate translation and the compliance release of multilingual commodity information are important means for improving the market competitiveness of an electronic commerce platform. At present, mainstream commodity information translation technology is generally focused on conversion and semantic accuracy of language contents, however, consideration of target platform layout rules and search engine optimization requirements is insufficient in the translation process, so that part of translation results are in conflict with marketing plans and content layout specifications of a target platform although language expression is accurate, and effective display of commodity information is affected. The traditional method for solving the problems generally relies on manual auditing or follow-up compliance checking to remedy, and the method has the defects of large workload and poor timeliness, and is difficult to radically eliminate the layout compliance risk in the commodity information release process. In addition, the prior art lacks a system identification and prevention and control mechanism for platform specific layout sensitivity in the generation stage of translated contents, so that the translated contents are difficult to simultaneously consider the accuracy of semantics and the suitability of layout, and the exposure rate and the conversion effect of commodities on a target platform are further affected. Disclosure of Invention The invention aims to at least solve one of the technical problems in the prior art, and therefore, the invention provides an SEO optimization method based on multi-language commodity description translation. In order to achieve the above object, the present invention provides a SEO optimization method based on multilingual commodity description translation, including: Mining a semantic conflict mode sensitive to platform layout according to historical multilingual commodity description data of a target electronic commerce platform, and generating an initial semantic vector set by combining source language commodity description to be translated; based on a platform preset layout template, determining a structural mapping relation between an initial semantic vector set and a semantic conflict mode, and identifying semantic segments in the initial semantic vector set, which trigger a platform layout conflict risk; based on the semantic segments triggering the platform layout conflict risks, combining an initial semantic vector set to construct a semantic topological tree adapting to the platform layout requirements, and generating semantic unit replacement combinations capable of eliminating the layout conflict risks according to a semantic conflict mode; And carrying out layout recombination on the semantic unit replacement combination according to the semantic topological tree to generate a multi-language commodity description text conforming to the SEO layout rule of the target electronic commerce platform. Compared with the prior art, the invention has the beneficial effects that: according to the invention, by introducing a layout sensitive semantic conflict mining technology based on historical data, active identification and avoidance of layout risks in multi-language commodity description are realized, the content is ensured to meet the layout requirement of a platform from the translation generation link, and the possibility of limited commodity display caused by content violations is reduced. According to the invention, through establishing the structural mapping relation between the semantic content and the platform layout template, the commodity information translation process can not only keep the semantic consistency among languages, but also accord with the layout specification of the specific area of the e-commerce platform, so that the overall performance of the multi-language commodity information on the search ranking and display effect is improved. According to the invention, by constructing a structural propagation analysis mechanism of layout risks and providing a corresponding semantic unit replacement scheme, the commodity information optimization process has a clear processing path and higher automation degree, the dependence on manual auditing is reduced, and the commodity information release efficiency and quality of the cross-border electronic commerce platform under a multi-language environment are improved. Drawings In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the