用于网站内容和结构设计的查询挖掘模型

IF 3.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence Pub Date : 2006-12-11 DOI:10.4114/IA.V10I29.881

Ricardo Baeza-Yates, B. Poblete

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引用次数: 1

摘要

在本文中，我们提出了一个在Web站点中挖掘查询的模型。该模型将在站点中找到的查询所提供的信息与站点的使用、内容和结构联系起来。我们模型的主要目标是以简单的方式发现有价值的信息，如何改进网站的结构和内容，使网站变得更加直观，并充分满足用户的需求。该模型提出了对站点使用日志中注册的不同类型查询的分析，例如用户在站点内部搜索引擎中发送的查询和在全局Web搜索引擎中提交的查询，这些查询会导致站点中的文档。这些查询提供了关于访问Web站点的用户感兴趣的主题的有用信息，它们的浏览模式表明在站点中找到的文档是否满足用户的需要。该模型还提出了对网站的层次结构的视觉验证，由文档和内容之间的链接给出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Un modelo de minería de consultas para el diseño del contenido y la estructura de un sitio Web

In this article we present a model for mining queries in Web sites. This model relates the information provided by queries found in a site, with the site's usage, content and structure. The main goal of our model is to discover in simple way, valuable information on how to improve the structure and content of the site, allowing the site to become more intuitive and adequate to the needs of its users. This model proposes the analysis of different types of queries registered in the usage logs of site, such as queries sent by users in the site's internal search engine and queries submitted in global Web search engines, that lead to documents in the site. These queries provide useful information about the topics that interest users visiting a Web site, and their browsing patterns indicate if the documents found in the site were satisfactory to the users needs. This model additionally proposes a visual validation of the hierarchic organization of the site, given by links between documents and their contents.

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来源期刊

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.