智能手机语音搜索中模糊查询处理的原型模型

Dae-Young Choi
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引用次数: 0

摘要

智能手机语音搜索中模糊查询的处理是最困难的问题之一。它主要来源于自然语言的复杂性和自由度。为了降低智能手机语音搜索中模糊查询的复杂度和自由度,提出了模糊查询的属性驱动方法。此外,提出了一种基于属性值的页面排序算法,用于处理模糊查询。它根据用户的搜索意图为智能手机用户提供基于位置的个性化页面排名。这是面向智能手机用户的基于位置的个性化网络搜索的又一步。在本文中,我们设计了一个原型模型来处理智能手机语音搜索中的模糊查询,并将所提出的方法与现有智能手机的实验结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Prototype Model for Handling Fuzzy Query in Voice Search on Smartphones
Handling fuzzy query in voice search on smartphones is one of the most difficult problems. It is mainly derived from the complexity and the degree of freedom of natural language. To reduce the complexity and the degree of freedom of fuzzy query in voice search on smartphones, attribute-driven approach for fuzzy query is proposed. In addition, a new page ranking algorithm based on the values of attributes for handling fuzzy query is proposed. It provides a smartphone user with location-based personalized page ranking based on user`s search intentions. It is a further step toward location-based personalized web search for smartphone users. In this paper, we design a prototype model for handling fuzzy query in voice search on smartphones and show the experimental results of the proposed approach compared to existing smartphones.
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