网络用户搜索行为特征分析

doi:10.11925/infotech.1003-3513.2014.12.02

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摘要

[目的]对网络用户行为的有关数据进行统计、分析, 为进一步提高搜索引擎的性能提供依据.[方法]分析用户搜索词特点; 对搜索引擎返回用户搜索结果进行分析; 借用熵的概念, 对用户的点击情况进行量化分析.[结果]在所有用户记录中, 无空格搜索占93.66%, 其中83.59%的用户使用较长搜索词串; 用户确定性点击达到64.26%; 71.26%的用户查看了前三个返回结果.[局限]搜索用户的规模在一定程度上影响分析结果.[结论]实验结果表明, 用户点击的可靠性与确定性密切相关, 搜索引擎对较长搜索词的关键词定位存在一定缺陷.

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	吕学强
	李红莲
	陈勇

关键词 ：用户行为, 日志分析, 搜索引擎, 信息熵

Abstract：

[Objective] To count and analyze for the data of Web users behavior, provide the basis for further improving the performance of search engines. [Methods] Analyze the characteristics of users' query and the user's query results that the search engine returns. To introduce the concept of entropy, quantify the behavior of interaction process of users and search engines. [Results] In all user records, no spaces queries accounted for 93.66%, 83.59% of the users use a longer query, user's certainty click reaches 64.26%, and 71.26% of the users view the first three return results. [Limitations] The size of the user's query may affect the result of the analysis in a certain extent. [Conclusions] The results show that the user's click on the reliability is closely related to the certainty, search engine has some defects on positioning of the long query words.

Key words： User behavior Log analysis Search engine Entropy

收稿日期: 2014-06-26

TP391

基金资助:

本文系国家自然科学基金项目"基于本体的专利自动标引研究"(项目编号: 61271304)、北京市教委科技发展计划重点项目暨北京市自然科学基金B类重点项目"面向领域的互联网多模态信息精准搜索方法研究"(项目编号:KZ201311232037)和北京市属高等学校创新团队建设与教师职业发展计划项目名称(项目编号: IDHT20130519)的研究成果之一.

通讯作者: 陈勇 E-mail: cy565025164@163.com E-mail: cy565025164@163.com

作者简介: 作者贡献声明: 吕学强: 提出研究命题, 收集数据; 陈勇: 提出研究思路, 设计研究方案, 分析数据, 论文起草; 李红莲: 论文修订.

引用本文:

陈勇, 李红莲, 吕学强. 网络用户搜索行为特征分析[J]. 现代图书情报技术, 2014, 30(12): 10-17.
Chen Yong, Li Honglian, Lv Xueqiang. Analysis for the Search Behavior of Web Users. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2014.12.02.

链接本文:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.12.02

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