一种语义丰富的基于Web使用的推荐模型
A semantically enriched web usage based recommendation model
摘要：
随着互联网技术的飞速发展，Web已经成为一个巨大的信息库，并且在没有编辑控制的情况下呈指数级增长。然而，人类阅读、访问和理解网络内容的能力仍然是不变的。这促使研究人员提供Web个性化的在线服务，如Web推荐，以减轻信息过载的问题，并提供定制的Web体验的Web用户。最近的研究表明，Web使用挖掘已经成为一种流行的方法，在提供Web个性化。然而，传统的基于Web使用的推荐系统是有限的，在他们的能力，使用的领域知识的Web应用程序。重点只放在Web使用数据上。因此，所发现的图案的质量是低的。在本文中，我们提出了一个新的框架，在Web使用挖掘过程中集成语义信息。序列模式挖掘技术应用于语义空间，以发现频繁的序列模式。频繁的导航模式中提取的本体实例，而不是Web页面视图的形式和由此产生的语义模式用于生成Web页面推荐给用户。实验结果表明，有希望的，并证明，将语义信息的Web使用挖掘过程中，可以为我们提供更多的有趣的模式，从而使推荐系统的功能更强大，更智能，更全面。
英文摘要：
With the rapid growth of internet technologies, Web has become a huge repository of information and keeps growing exponentially under no editorial control. However the human capability to read, access and understand Web content remains constant. This motivated researchers to provide Web personalized online services such as Web recommendations to alleviate the information overload problem and provide tailored Web experiences to the Web users. Recent studies show that Web usage mining has emerged as a popular approach in providing Web personalization. However conventional Web usage based recommender systems are limited in their ability to use the domain knowledge of the Web application. The focus is only on Web usage data. As a consequence the quality of the discovered patterns is low. In this paper, we propose a novel framework integrating semantic information in the Web usage mining process. Sequential Pattern Mining technique is applied over the semantic space to discover the frequent sequential patterns. The frequent navigational patterns are extracted in the form of Ontology instances instead of Web page views and the resultant semantic patterns are used for generating Web page recommendations to the user. Experimental results shown are promising and proved that incorporating semantic information into Web usage mining process can provide us with more interesting patterns which consequently make the recommendation system more functional, smarter and comprehensive.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
