Web检索查询意图分类技术综述

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摘要查询分类是近年来信息检索领域的研究热点,并且在很多领域得到了广泛地关注。主要讨论根据查询的意图进行分类的研究工作,从查询分类的诞生背景、关键技术、所使用的分类方法和评价方法方面进行综述评论,提出了查询意图分类面临的问题和挑战。认为缺乏权威的评测标准、在大规模数据集上的未经全面测试的性能、如何准确地获取查询的特征以及如何证明分类体系的完备性和独立性是目前查询意图分类研究的关键问题。

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	张森
	王斌

关键词 ：计算机应用, 中文信息处理, 自动查询分类, 查询意图分类, 分类方法, 数据集, 特征提取, 机器学习

Abstract：An increasing number of researches have been focused on the classification of web queries in recent years. This article centers around the researches on automatic query classification according to query intention. It presents a survey of the background of query classification, its key techniques, the classification algorithms and the evaluation methods. And it outlines the problems and challenges in query intention classification, i.e. lack of authoritative evaluation method, the inadequate performance comparisons on large scale dataset, the acquisition of accurate query features, and the issues in the completeness and objectivity of a category system.

Key words： computer application Chinese information processing automatic query classification query intention classification classification approach dataset feature extraction machine learning

收稿日期: 2007-09-16

中图分类号:

TP391

基金资助:: 国家自然科学基金资助项目(60603094);国家973课题资助项目(2004CB318109)

作者简介: 张森(1983—),男,硕士生,主要研究方向为文本信息检索;王斌(1972—),男,博士,副研究员,主要研究方向为信息检索和自然语言处理。

链接本文:

http://jcip.cipsc.org.cn/CN/Y2008/V22/I4/75

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