首页> 外国专利> METHOD FOR RECOMMENDING A SEARCH TERM, METHOD FOR TRAINING A TARGET MODEL, APPARATUS FOR RECOMMENDING A SEARCH TERM, APPARATUS FOR TRAINING A TARGET MODEL, ELECTRONIC DEVICE AND PROGRAM PRODUCT

METHOD FOR RECOMMENDING A SEARCH TERM, METHOD FOR TRAINING A TARGET MODEL, APPARATUS FOR RECOMMENDING A SEARCH TERM, APPARATUS FOR TRAINING A TARGET MODEL, ELECTRONIC DEVICE AND PROGRAM PRODUCT

机译:用于推荐搜索项的方法,用于训练目标模型的方法,用于推荐搜索项的装置,用于训练目标模型的装置,电子设备和程序产品

摘要

The present disclosure provides a method for recommending a search term, an apparatus, an electronic device, a storage medium and a computer program product. The method includes: acquiring an input target search term; determining a neighbor node of a current node and a relationship between the current node and the neighbor node, by taking the target search term as the current node; performing semantic representation processing on first text information of the current node and second text information of the neighbor node respectively, to obtain a first semantic representation and a second semantic representation; obtaining a semantic aggregation representation of the target search term according to the first semantic representation, the second semantic representation and the relationship between the current node and the neighbor node; and recalling a candidate search term to be recommended from a set of candidate search terms, by taking the semantic aggregation representation as an index.
机译:本公开提供了一种用于推荐搜索项,装置,电子设备,存储介质和计算机程序产品的方法。该方法包括:获取输入目标搜索项;通过将目标搜索项作为当前节点确定当前节点和邻居节点之间的电流节点的邻居节点和关系;对当前节点的第一文本信息和邻居节点的第二文本信息的第一文本信息执行语义表示处理,以获得第一语义表示和第二语义表示;根据第一语义表示,第二语义表示和当前节点与邻居节点之间的关系获得目标搜索项的语义聚合表示;并回顾一组候选搜索项建议使用语义聚合表示作为索引的候选搜索术语。

著录项

  • 公开/公告号EP3876114A2

    专利类型

  • 公开/公告日2021-09-08

    原文格式PDF

  • 申请/专利号EP20210187193

  • 发明设计人 JIANG FUCHUN;

    申请日2021-07-22

  • 分类号G06F16/9532;

  • 国家 EP

  • 入库时间 2022-08-24 20:54:22

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