Towards time-focused Web Search and Mining

这项研究已经产生了一些新的方法和途径的时间信息检索。首先，我们提供了估计文档引用时间的方法，它表示给定文档内容所涉及的时间段。为了提高时间信息检索的效率，我们提出了一种从大文档集中提取集合未来相关信息的方法，并提出了一种估计图像年龄的方法。此外，我们还测量了用户在网络搜索活动中使用时间和时间特征的程度。这项在线调查对110名网络用户进行，其结果在TempWeb2013研讨会上公布。为了进一步促进时间信息检索的研究，我们在NTCiR中建立了时间信息访问任务挑战。我们写了一篇关于时态信息检索的调查论文，计划在今年发表在ACM Computing Surveys杂志上。

This research has resulted in several novel methods and approaches for temporal information retrieval. First, we have provided methodology for estimating reference time of documents, which represents the time period to which the given document content refers to. For improving temporal information retrieval, we proposed a method for extracting collective future-related information from large document sets.In another work, we have proposed a method for estimating age of images. Moreover, we have measured the extent to which users use time and temporal features in their search activities on the web. This online survey has been done on 110 Web users and its results were published at TempWeb2013 workshop. To further foster the research in temporal information retrieval we established Temporal Information Access task challenge in NTCiR. And we wrote a survey paper about Temporal Information Retrieval which is scheduled to appear in this year in ACM Computing Surveys journal.