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理解时态查询动态

Understanding Temporal Query Dynamics
课程网址: http://videolectures.net/wsdm2011_svore_utq/  
主讲教师: Krysta M. Svore
开课单位: 微软公司
开课时间: 2011-08-09
课程语种: 英语
中文简介:
网络搜索深受时间的影响。人们发出的查询会随着时间的推移而改变,有些查询的人气偶尔会飙升(比如地震),而另一些查询则相对稳定(比如youtube)。文件索引的搜索引擎也发生了变化,与一些文件总是被一个特定的查询(例如,地震的维基百科页面查询地震)和其他的查询只在一个特定的时间点(例如,《纽约时报》只有地震后主要地震活动)。文档和查询之间的关系也会随着人们意图的变化而变化(例如,人们在海地地震前对查询内容的搜索与在海地地震后不同)。在本文中,我们通过分析查询日志数据、每天的Web爬行和周期性的人类相关性判断,探索查询、相关文档和查询意图在10周内是如何变化的。我们确定了几个有趣的特性,通过这些特性可以对查询流行度的变化进行分类,并表明,这些特性的存在,如果伴随着结果内容的变化,可以很好地指示查询意图的变化。
课程简介: Web search is strongly influenced by time. The queries people issue change over time, with some queries occasionally spiking in popularity (e.g., earthquake) and others remaining relatively constant (e.g., youtube). The documents indexed by the search engine also change, with some documents always being about a particular query (e.g., the Wikipedia page on earthquakes is about the query earthquake) and others being about the query only at a particular point in time (e.g., the New York Times is only about earthquakes following a major seismic activity). The relationship between documents and queries can also change as people's intent changes (e.g., people sought different content for the query earthquake before the Haitian earthquake than they did after). In this paper, we explore how queries, their associated documents, and the query intent change over the course of 10 weeks by analyzing query log data, a daily Web crawl, and periodic human relevance judgments. We identify several interesting features by which changes to query popularity can be classified, and show that presence of these features, when accompanied by changes in result content, can be a good indicator of change in query intent.
关 键 词: 计算机科学; Web挖掘; 查询意图
课程来源: 视频讲座网
最后编审: 2020-06-23:liqy
阅读次数: 35