| 基于搜索时间序列聚类的网络用户搜索策略识别 |
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| 引用本文： | 袁红,张海潮.基于搜索时间序列聚类的网络用户搜索策略识别[J].图书情报工作,2016,60(20):94-103. |
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| 作者姓名： | 袁红 张海潮 |
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| 作者单位： | 南通大学管理学院 南通 226019 |
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| 基金项目： | 本文系江苏省社会科学基金一般项目“社会化媒体环境下用户信息搜索策略选择及其效率评价研究”（项目编号：15TQB010）研究成果之一。 |
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| 摘 要： | 目的/意义] 搜索引擎是用户访问网络资源的重要入口，识别用户搜索策略有助于发现用户搜索的认知规律，让搜索引擎更好地理解用户搜索。方法/过程] 采用Microsoft顺序分析与聚类分析算法对用户搜索日志中的搜索时间进行分析，识别用户利用搜索引擎时普遍采用的搜索策略，并概括不同类型搜索策略的特征。结果/结论] 用户在搜索中存在“快速消费”策略、“试探”策略、“探索”策略和“终止与确认”策略，不同策略在搜索时间、浏览次数、用户认知过程等方面表现出明显的差异。
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| 关 键 词： | 日志挖掘 搜索策略 搜索时间 序列聚类 |
| 收稿时间： | 2016-07-12 |
Network User Search Strategies Recognition Based on Search Time Sequence Clustering |
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| Yuan Hong,Zhang Haichao.Network User Search Strategies Recognition Based on Search Time Sequence Clustering[J].Library and Information Service,2016,60(20):94-103. |
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| Authors: | Yuan Hong Zhang Haichao |
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| Institution: | School of Management, Nantong University, Nantong 226019 |
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| Abstract: | Purpose/significance] Search engine is an important entrance to the user access to the Internet resources, and the identification and analysis of users' search strategies can explore the cognitive law of user searches, and make the search engine better understand users. Method/process] The Microsoft sequence analysis and clustering analysis algorithm was applied to analyze the search time of user search logs, to identify the search strategies users commonly used when using a search engine, and to summarize the characteristics of different types of search strategies.Result/conclusion] There are quick consumption strategy, trial strategy, exploratory strategy and termination & confirmation strategy in user network searches, and different strategies have different characteristics in terms of search time, the number of browsing and user cognitive process. |
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| Keywords: | log mining search strategy search time sequence clustering |
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