Cuckoo优化了网页搜索中的查询推荐

S. Jagan, S. Rajagopalan
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引用次数: 0

摘要

在日常查询日志中,包含了大量关于网络用户与不同搜索引擎的交互以及他们的偏好和兴趣的有价值的知识。当从这种行为中提取行为模式时,搜索引擎提供的服务就会有很大的改进,同时也会引入创新的网络搜索范式。查询推荐在很大程度上被用户用来获取高效的信息。通过布谷鸟搜索选择查询流图及其权值,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cuckoo optimized query recommendation in web search
In daily query logs that contain knowledge that is valuable on the interactions of web users with the different search engines and their preferences and interests is recorded in huge volumes. When patterns of behavior are extracted from this behavior there is a great improvement in the provision of services by the search engines and also paradigms in web search that are innovative are introduced. The recommendation of queries is used to a great extent by user to derive efficient information. Query Flow Graph and its weights are chosen through a Cuckoo Search and the results are demonstrated by proving the efficacy of this method.
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