收稿日期: 2016-07-12
修回日期: 2016-10-08
网络出版日期: 2016-10-20
基金资助
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。
Network User Search Strategies Recognition Based on Search Time Sequence Clustering
Received date: 2016-07-12
Revised date: 2016-10-08
Online published: 2016-10-20
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 . DOI: 10.13266/j.issn.0252-3116.2016.20.012
[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.
Key words： log mining; search strategy; search time; sequence clustering
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