论文标题
从SEO的角度来查询意图检测
Query Intent Detection from the SEO Perspective
论文作者
论文摘要
Google用户的查询有不同的意图，例如获取信息，购买产品，比较或模拟服务，寻找产品等。了解用户的正确意图有助于提供i）从搜索引擎优化（SEO）的角度和ii）上在网页上提供更好的内容，而ii）从搜索引擎的角度来看，更多的用户满足结果。在这项研究中，我们旨在通过利用Google结果和机器学习方法来确定用户查询的意图。我们提出的方法是一个聚类模型，该模型利用某些功能来检测查询的意图。从聚类查询中提取的关键字列表用于识别新给定查询的意图。将聚类结果与过滤的关键字预测的意图进行比较，显示了提取的关键字用于检测意图的效率。
Google users have different intents from their queries such as acquiring information, buying products, comparing or simulating services, looking for products, and so on. Understanding the right intention of users helps to provide i) better content on web pages from the Search Engine Optimization (SEO) perspective and ii) more user-satisfying results from the search engine perspective. In this study, we aim to identify the user query's intent by taking advantage of Google results and machine learning methods. Our proposed approach is a clustering model that exploits some features to detect query's intent. A list of keywords extracted from the clustered queries is used to identify the intent of a new given query. Comparing the clustering results with the intents predicted by filtered keywords show the efficiency of the extracted keywords for detecting intents.
