自适应网络信息获取服务技术研究
发布时间：2018-09-09 17:29
【摘要】： 网络技术的发展带来了可获取信息资源的极大丰富，但是网络资源的无序、良莠不齐等缺点也给用户获取网络信息带来了困难。网络信息获取服务是指在互联网上，针对个人用户的网络信息需求，以现代信息技术为手段，向用户提供所需的互联网信息产品及服务，其服务模式包括信息拉取和信息推送。自适应网络信息获取服务技术，则是根据用户需求、信息源特征、系统负载等因素，自适应地动态调整自身行为，高效、人性化地提供高质量的信息。 准确、全面地感知用户需求，是实现网络信息获取服务的基础。网络用户既是网络信息资源的利用者又是提供者，因此可以通过分析用户的浏览内容、行为和发布的信息等来获取用户需求。获得用户需求后，如何在浩瀚的网络信息资源中筛选出相关的信息，并以更人性化的方式展现给用户，是网络信息获取服务成功的关键。此外，用户对信息获取的时效性通常有较高的要求，如何保障信息获取系统的性能也是网络信息获取服务的重要研究内容之一。 为解决上述问题，本文首先提出了一种基于查询歧义性衡量的自适应信息拉取技术。对用户请求进行歧义性衡量，根据其歧义性自适应地决定结果的展现方式；在结果筛选和展现方面，分别提出了多特征融合排序算法和聚类算法；并在互联网颇具代表的新兴资源：多媒体信息(以图像为例)和更新频繁的动态资源(以博客为例)上得到了验证。 其次，本文针对网络活动中的信息发布者和信息浏览者各提出了一种基于个性化建模的自适应信息推送技术：对于信息发布者，以当前网络流行的博客这一个性化信息发布平台为研究环境，提出了一种利用博客文章对用户进行长短期兴趣建模的方法，并对博客空间进行社群划分，实现了兴趣相似好友的推荐；对于信息浏览者，利用用户当前浏览网页的内容作为用户个性信息的表征，提出了一种基于情感和主题分析的上下文广告推荐技术，使推送的广告不仅主题相关，而且与网页内容中潜在的用户情感相符合，，从而更具针对性。 接着，针对网络信息获取服务在性能、可扩展性等方面的需求，以信息拉取服务的典型应用——搜索引擎为切入点，提出了一种具有较好可扩展性的混合型分布式索引组织策略(Loc-Glob)。并在Loc-Glob索引组织策略之上进行性能优化：基于索引词负载及动态变化查询流，重新分布和冗余索引；基于索引服务器的实时系统负载，实现查询路径的自适应优化。 基于上述研究，本文设计并实现了一个采用自适应技术的博客空间信息获取原型系统，提供了博客搜索引擎、博客好友推荐、广告推荐等多种应用服务，验证了本文针对信息拉取和信息推送两类服务模式提出的多项自适应技术的可行性。 文章最后对本文的研究工作进行了总结和展望。
[Abstract]:The development of network technology has brought about great richness of available information resources, but the disorder and uneven quality of network resources have also brought difficulties to users in obtaining network information. The service mode of Internet information products and services is information pulling and information pushing. Adaptive network information acquisition service technology adaptively adjusts its behavior dynamically according to user needs, information source characteristics, system load and other factors, and provides high-quality information efficiently and humanely.
Accurate and comprehensive perception of users'needs is the basis of network information acquisition services. Network users are both users and providers of network information resources. Therefore, users' needs can be obtained by analyzing users'browsing content, behavior and published information. Screening out relevant information and presenting it to users in a more humane way is the key to the success of network information acquisition service. In addition, users usually have higher requirements for the timeliness of information acquisition. How to ensure the performance of information acquisition system is also one of the important research contents of network information acquisition service.
In order to solve the above problems, an adaptive information pull-out technique based on query ambiguity measurement is proposed in this paper. It has been validated in the emerging resources of the Internet: multimedia information (for example, images) and frequently updated dynamic resources (for example, blogs).
Secondly, this paper proposes an adaptive information push technology based on personalized modeling for information publishers and information browsers in network activities. For information publishers, a personalized information publishing platform, blog, which is popular on the Internet, is taken as the research environment, and a blog article is proposed to make use of the length of users. Interest modeling method is used to divide the blog space into communities, and the recommendation of friends with similar interests is realized. For information browsers, the content of the user's current browsing web page is used as the representation of the user's personality information, and a context advertising recommendation technology based on emotion and topic analysis is proposed to make the pushed advertisement not only the theme. Relevance, and in line with potential user emotions in web content, is more targeted.
Then, aiming at the performance and scalability requirements of network information retrieval service, a hybrid distributed index organization strategy (Loc-Glob) with good scalability is proposed, which is based on the typical application of information pull-out service-search engine. Indexed word load and dynamic query flow are used to redistribute and redundant index, and real-time system load based on index server is used to optimize query path.
Based on the above research, this paper designs and implements a blog spatial information acquisition prototype system using adaptive technology, which provides a variety of application services such as blog search engine, blog friend recommendation, advertising recommendation and so on. It verifies the feasibility of the multi-adaptive technology proposed in this paper for the two types of service modes of information pull and information push.
At the end of the paper, the research work in this paper is summarized and prospected.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2008
【分类号】：G250.73
本文编号：2233080
[Abstract]:The development of network technology has brought about great richness of available information resources, but the disorder and uneven quality of network resources have also brought difficulties to users in obtaining network information. The service mode of Internet information products and services is information pulling and information pushing. Adaptive network information acquisition service technology adaptively adjusts its behavior dynamically according to user needs, information source characteristics, system load and other factors, and provides high-quality information efficiently and humanely.
Accurate and comprehensive perception of users'needs is the basis of network information acquisition services. Network users are both users and providers of network information resources. Therefore, users' needs can be obtained by analyzing users'browsing content, behavior and published information. Screening out relevant information and presenting it to users in a more humane way is the key to the success of network information acquisition service. In addition, users usually have higher requirements for the timeliness of information acquisition. How to ensure the performance of information acquisition system is also one of the important research contents of network information acquisition service.
In order to solve the above problems, an adaptive information pull-out technique based on query ambiguity measurement is proposed in this paper. It has been validated in the emerging resources of the Internet: multimedia information (for example, images) and frequently updated dynamic resources (for example, blogs).
Secondly, this paper proposes an adaptive information push technology based on personalized modeling for information publishers and information browsers in network activities. For information publishers, a personalized information publishing platform, blog, which is popular on the Internet, is taken as the research environment, and a blog article is proposed to make use of the length of users. Interest modeling method is used to divide the blog space into communities, and the recommendation of friends with similar interests is realized. For information browsers, the content of the user's current browsing web page is used as the representation of the user's personality information, and a context advertising recommendation technology based on emotion and topic analysis is proposed to make the pushed advertisement not only the theme. Relevance, and in line with potential user emotions in web content, is more targeted.
Then, aiming at the performance and scalability requirements of network information retrieval service, a hybrid distributed index organization strategy (Loc-Glob) with good scalability is proposed, which is based on the typical application of information pull-out service-search engine. Indexed word load and dynamic query flow are used to redistribute and redundant index, and real-time system load based on index server is used to optimize query path.
Based on the above research, this paper designs and implements a blog spatial information acquisition prototype system using adaptive technology, which provides a variety of application services such as blog search engine, blog friend recommendation, advertising recommendation and so on. It verifies the feasibility of the multi-adaptive technology proposed in this paper for the two types of service modes of information pull and information push.
At the end of the paper, the research work in this paper is summarized and prospected.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2008
【分类号】：G250.73
【引证文献】
相关博士学位论文 前1条
1 王兴中;铁路调度指挥系统中数据存储体系及索引结构的研究[D];中国铁道科学研究院;2011年
本文编号：2233080
本文链接：https://www.wllwen.com/wenyilunwen/guanggaoshejilunwen/2233080.html
