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Query Suggestion Generation Methods for Mobile Phones

机译:手机查询建议生成方法

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摘要

The Internet is a powerful vehicle of communication. It is widely used by billions of users in their daily activities. The large content of information on the web is essentially useless unless this wealth of information can be discovered and consumed by other users. This study, focuses on the problem of information retrieval through mobile phones. As the web becomes more and more accessible through mobile phones, there is a need for better mechanisms for access of the content. The key problem is that apart from the limitations of the domain such as small screen size, limited processing capability etc., there is a need for increasing the relevance of the content shown to the users. One of the causes of the non-relevant information being retrieved is the query ambiguity. The relevance of information retrieved can be improved by the use of query suggestions. The aim is to narrow down the scope of the query. This study focuses on a unique method for improving the quality of suggestions generated for the user queries from the web. The effect of the query suggestions on increasing the relevance of the user queries has been outlined. The results show considerable promise and can potential lead to significant further research in the domain.
机译:互联网是强大的交流工具。它已被数十亿用户的日常活动广泛使用。除非大量信息可以被其他用户发现和消费,否则网络上的大量信息基本上是无用的。这项研究的重点是通过手机检索信息的问题。随着通过手机越来越多地访问网络,需要一种更好的内容访问机制。关键问题是,除了诸如屏幕尺寸小,处理能力有限等领域的限制外,还需要增加显示给用户的内容的相关性。检索不相关信息的原因之一是查询歧义。可以通过使用查询建议来提高检索到的信息的相关性。目的是缩小查询范围。这项研究着重于一种独特的方法,该方法可提高为用户从Web查询生成的建议的质量。已经概述了查询建议对增加用户查询的相关性的影响。结果显示出可观的前景,并有可能导致该领域的进一步深入研究。

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