基于搜索日志的用户行为分析
首发时间:2013-12-17
摘要:搜索作为互联网服务重要服务之一,每天有上亿的网民使用,并由此产生大量的搜索记录。本文通过对搜狗搜索日志分析,力求通过查询词、用户ID等字段,来发现用户的搜索行为。本文首先简单介绍了搜狗搜索日志。然后,对日志记录中的查询词字段做了详细分析,对查询词的热度、出现频率做了深入研究;对用户ID字段做了详细分析,对用户的平均搜索次数、最多搜索次数等进行了研究和分析。最后,本文对值得进一步分析和挖掘的数据做了一个简单展望。
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User Behavior Analysis Based on Search Logs
Abstract:As the one of the most important Internet service, search is used by millions of people, generating lots of searching logs. Based on the Sogou search logs, we analyze the query terms and the user ID and other fields to discover the searching behaviors of users. In this paper, We have a simple introduction of Sogou searching logs. In the next, we make a detailed analysis of query field, especially about the frequency of occurrence of the query field. And we also research the user-ID field to discover the average of searching time of a user, the max time of a user. At last, we make a outlook of the data which contains a large value of mining and analysis.
Keywords: Computer Application Search Log User Behavior Analysis
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