AIDE:针对查询日志的特别意图检测引擎

Yunliang Jiang, Hui-Ting Yang, K. Chang, Yi-Shin Chen
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引用次数: 0

摘要

虽然关键字查询已经成为网络搜索和许多其他数据库应用程序的“标准”查询语言,但它们的简洁和非结构化使得很难发现用户真正想要的是什么。在本演示中,我们的目标是通过探索查询日志来检测这种隐藏的查询意图,我们将其定义为用户与查询术语共同询问的频繁短语。为了建立一个在线搜索系统AIDE,我们为用户提供了在运行时使用任意的特别查询来检测一般和唯一意图的功能。我们还将演示该系统的有效性,该系统实现了对超过14M条MSN查询日志记录的索引和搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AIDE: ad-hoc intents detection engine over query logs
While keyword queries have become the "standard" query language of web search and many other database applications, their brevity and unstructuredness make it difficult to detect what users really want. In this demonstration, we aim to detect such hidden query intents, which we define as the frequent phrases that users co-ask with the query term, by exploring query logs. Toward building an online search system AIDE, we offer users the function to detect general and unique intents using arbitrary ad-hoc queries at run time. We will also demonstrate the effectiveness of the system which achieves indexing and searching over 14M MSN query log records.
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