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论文编号：	10114
作者编号：	2120152963
上传时间：	2018/6/8 19:25:25
中文题目：	基于用户行为分析的中文搜索引擎交互优化方案研究
英文题目：	Research on Chinese Search Engine Interaction Optimization Scheme Based on User Behavior Analysis
指导老师：	王知津
中文关键字：	用户行为;信息检索;搜索引擎; 搜索引擎优化
英文关键字：	User behavior; Information retrieval; Search engine; Search engine optimization
中文摘要：	搜索引擎的优化是通过使用易于用户进行索引的合理手段，使得网站的各项要素都能够更好的适应用户的需求，更便于用户的使用，并且能够使得内容更容易的被搜索引擎收录编排，以及优先的排序。随着搜索引擎不断的发展迭代，各种互联网产品层起不穷，各个平台在拼流量的时代，用户行为成为各家搜索引擎网站去深入细化的研究范围，以往的用户行为局限在解读用户日志或者后台数据上，或者单一的去了解用户的检索习惯，但本研究将两者结合起来，去探讨用户在前端使用时候的影响其检索行为的因素，并在后期提取出关键因素后进行大范围的调查问卷，研究用户目前的偏好，以更加全面去优化搜索引擎与用户交互过程，更好的为用户检索服务。本研究通过实验与问卷调查发现，尽管现在的搜索引擎相比于之前有了很大的提升，但是用户本身对于搜索引擎硬件体系依然有很多的不满足，比如在搜索引擎响应速度，页面质量，内容覆盖以及现在的智能交互方面有很高的要求，在其他方面比如搜索引擎的结果排序，推荐算法，语言以及语音的多元化，人工智能的发展与期待等方面，都表达了自己的需求与明确的喜好，针对以上的发现提出基于用户行为分析的搜索引擎交互优化方案，另外除了对现阶段用户体验的调查与研究，对于搜索引擎公司未来的发展也发现了一些有价值的建议，明确搜索引擎所要面临的新的严峻挑战，比如很多内容生产平台慢慢替代了用户使用搜索引擎进行信息检索的行为，以及移动端的搜索引擎APP已经主导了人们日常生活中大部分的检索行为，在此过程中产生的用户对于个人定制的强大需求，这些成果将会帮助搜索引擎在众多的用户需求与体验中，找准用户痛点并明确一些开发优化方向。
英文摘要：	The optimization of the search engine is through the use of easy means of indexing by the user, so that the various elements of the website can be better adapted to the needs of the user, more user-friendly, and can make the content easier to be included by the search engine. And prioritized sorting. With the continuous development of search engines, various Internet products have emerged in an endless stream. In the era of the fight for traffic, user behavior has become a research area for various search engine websites. In the past, user behavior was limited to interpreting users. Log or background data, or a single to understand the user's search habits, but this study will combine the two to explore the factors that affect the user's search behavior when the front end of the use of the factors, and later extract key factors after the range of questionnaires to study the current preferences of users, to more fully optimize the search engine and user interaction process, and better for users to retrieve services. This study found through experiments and questionnaires that although the current search engine has been greatly improved compared to before, but the user itself still has a lot of dissatisfaction with the search engine hardware system, such as the search engine response speed, page quality, Content coverage and current intelligent interactions have high requirements. In other areas such as search engine ranking, recommendation algorithms, diversification of languages and voices, development and expectation of artificial intelligence, etc., all express their own needs. Clear preferences, in addition to the investigation and research on the user experience at the current stage, the future development of the search engine also through this process found that some search engines are facing new and severe challenges, such as many content production platforms slowly replace the users’ behavior of search engines for information retrieval, and mobile search engine APP has dominated most of the search activities in people's daily life. In the process of generating a strong demand for personal customization, these results will help search engines in many to optimize the development direction of users’ needs and experiences identify and clarify according to the pain points of users.
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