| 基于日志挖掘的用户健康信息检索行为研究 |
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| 引用本文： | 王若佳,李培.基于日志挖掘的用户健康信息检索行为研究[J].图书情报工作,2015,59(11):111-118. |
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| 作者姓名： | 王若佳 李培 |
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| 作者单位： | 1. 南开大学商学院, 天津, 300100;
2. 天津图书馆, 天津, 300201 |
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| 摘 要： | 目的/意义] 针对当前我国网络用户的健康信息检索行为, 探索利用中文搜索引擎的健康信息检索规律, 为完善健康搜索引擎和网站建设提供参考。方法/过程] 基于搜狗搜索引擎的大规模查询日志, 采用日志挖掘的方法, 从查询行为和点击行为两个角度对网络用户的健康信息检索行为进行研究。查询行为的研究指标包括会话层(会话长度、用户重复查询), 查询串层(查询串长度、重复查询)和词项层(高频词汇, 主题分类);点击行为的研究指标为点击位置和点击内容。结果/结论] 健康相关查询的重复率较高, 提示相关网站可缓存高重复率查询串的返回结果;大众关注的热点领域为疾病、保健、母婴、医疗机构与美容整形, 提示网站的导航设计注意导航方向;用户更偏爱使用问答型平台, 提示网站设计者应更加关注与用户间问答型的互动模式。
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| 关 键 词： | 日志挖掘 健康信息 信息行为 |
| 收稿时间： | 2015-05-05 |
| 修稿时间： | 2015-05-20 |
A Study on Health Information Search Behavior Based on Log Mining |
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| Wang Ruojia,Li Pei.A Study on Health Information Search Behavior Based on Log Mining[J].Library and Information Service,2015,59(11):111-118. |
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| Authors: | Wang Ruojia Li Pei |
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| Institution: | 1. Business School, Nankai University, Tianjin 300100;
2. Tianjin Library, Tianjin 300201 |
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| Abstract: | Purpose/significance] This paper studied the Chinese internet users'search behaviors of health information, explored the search rules of Chinese search engines, to provide reference for health search engines and websites.Method/process] With the methods of log mining from the health queries in Sogou search engine,itstudied online health search behaviors from the respects of inquiring behavior and clicking behavior. The research indicators of inquiring behavior consist of session level, query level and term level; clicking behavior's research indicators include the click distribution and high frequency URLs. Result/conclusion] Results show that (1)the repetition rate of health-related searches is relatively higher which suggests that search engines should buffer the returned results of these queries, (2) the top topics are about diseases, health care, pregnancy/baby, medical institutions and cosmetic plastics which provides a direction on website navigation, (3) the users prefer question-answer platforms which means that the website operators should focus on such pattern of interaction. |
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| Keywords: | log mining health information information behavior |
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