项目名称: 目标导向的网络挖掘与推荐关键问题研究
项目编号: No.61272480
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 张彦春
作者单位: 中国科学院大学
项目金额: 70万元
中文摘要: 互联网上的海量数据和各种各样的信息服务为人们信息获取提供了极大的方便和自由。一方面,巨大数量的日益成熟的网络用户对互联网上搜索信息质量的要求变得越来越高,另一方面,网络已成为信息发布的最重要媒介,对企业产品和服务的推广起着越来越不容忽视的重要作用。本研究通过利用两种目标导向因素:用户动机因素和表现其使用Web行为的具体上下文环境的情境因素来进行互联网数据挖掘,旨在从海量的Web网页数据中快速而准确地挖掘出用户需要的资源或服务以满足资源搜索和广告推荐的需要。本研究的目的就是在Web挖掘和推荐领域开辟一个新的研究方向,即通过引入新的结构维数(即引入用户动机和使用情境两个目标导向因素)从而以更加有效的方式来推荐,聚类和结构化Web资源。这种新技术的研发包括:因果网络动机模型,动机链接分析,基于动机的Web聚类,使用情境知识挖掘以及一个基于动机的推荐原型系统。
中文关键词: 用户动机;使用情境;网络推荐;网络挖掘;网络资源
英文摘要: Sheer volume of data on the Internet and a variety of information services for the people access to information provide a great convenience and freedom. On one hand, a growing huge number of the Internet users have put forward increasingly high requirements on the quality of the information search on the Internet. On the other hand, as one of the most important platforms of information dissemination, the internet plays a more important role in provision of enterprise products and services that cannot be overlooked. In this project, we aim to develop web mining techniques based on two goal-oriented factors - the user motivation and the contexts of the Web environment where users use the Web resources - to quickly and accurately satisfy users' real needs for information resources or services in Web search, while providing a suitable advertising delivery. This project will open up a new research direction in the field of Web mining and recommendation by the introduction of a new structural dimension (i.e., the introduction of two goal-oriented factors of user motivations and contexts), and thus make the recommendation, aggregation and reconstruction of Web resources more effective and efficient. The new technologies developed in this project include: model of Web motivation, analysis of motivation links, Web clust
英文关键词: User's motivation;Contex-aware;Web recommendation;Web mining;Web resources