王奕文.百度搜索知识库内容优化的几个问题论析[J].,2019,(4):91-94
百度搜索知识库内容优化的几个问题论析
Analysis of Several Questions on Content Optimization of Baidu Search Knowledge Base
投稿时间:2019-08-09  
DOI:
中文关键词:  百度  搜索引擎  知识库优化
English Keywords:Baidu  search engine  optimization of knowledge base
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作者单位
王奕文 南华大学 经济管理与法学学院,湖南 衡阳 421001 
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中文摘要:
      在近几年大数据应运而生的实时竞价方式(RTB)背景下,百度搜索应该不能再以技术中间性为由而不注重用户体验,以致各种各样形式的、大面积植入广告的出现,这不仅仅达不到广告精准投放的效果,也同时带来了一系列问题,尤为突出的是知识词条的模糊关联度低,严重影响了用户对品牌的忠诚度,也严重违背了搜索引擎内容至上的基本诉求。搜索引擎的搜索结果的精准达成是解决企业核心利益的关键,也是搜索引擎的立身之基。文章试图从最基础的知识库优化入手,逐步论析百度搜索在未来改革发展中搜索内容关联度提升的新方式。
English Summary:
      This paper points out that under the background of real-time bidding mode (RTB) which emerges with the emergence of large data in recent years, Baidu search should not be based on technology neutrality and pay no attention to user experience by implanting advertising promotions in a variety of forms, which not only fails to achieve the effect of accurate advertising, but also brings a series of problems, including the low degree of fuzzy relevance of knowledge entries. This will seriously affect the loyalty of users to the brand, and also seriously violate the “content-first” basic demand of the search engine. Accurate search result is the key to solve the core interests of enterprises, and also the foundation of search engine. This paper attempts to start with the optimization of the most basic knowledge base, and gradually analyze the new breakthrough that Baidu Search can try in the future reform and development.
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