首页> 外文期刊>Journal of the American Society for Information Science and Technology >Exploiting Navigational Queries for Result Presentation and Caching in Web Search Engines
【24h】

Exploiting Navigational Queries for Result Presentation and Caching in Web Search Engines

机译:利用导航查询在Web搜索引擎中进行结果表示和缓存

获取原文
获取原文并翻译 | 示例
           

摘要

Caching of query results is an important mechanism for efficiency and scalability of web search engines. Query results are cached and presented in terms of pages, which typically include 10 results each. In navigational queries, users seek a particular website, which would be typically listed at the top ranks (maybe, first or second) by the search engine, if found. For this type of query, caching and presenting results in the 10-per-page manner may waste cache space and network bandwidth. In this article, we propose nonuniform result page models with varying numbers of results for navigational queries. The experimental results show that our approach reduces the cache miss count by up to 9.17% (because of better utilization of cache space). Furthermore, bandwidth usage, which is measured in terms of number of snippets sent, is also reduced by 71 % for navigational queries.This means a considerable reduction in the number of transmitted network packets, i.e., a crucial gain especially for mobile-search scenarios. A user study reveals that users easily adapt to the proposed result page model and that the efficiency gains observed in the experiments can be carried over to real-life situations.
机译:缓存查询结果是提高Web搜索引擎效率和可伸缩性的重要机制。查询结果将以页面的形式缓存和显示,通常每个页面包含10个结果。在导航查询中,用户查找特定的网站,如果找到该网站,则通常会被搜索引擎列在排名最高的位置(也许是第一或第二)。对于这种类型的查询,以每页10个的方式缓存和呈现结果可能会浪费缓存空间和网络带宽。在本文中,我们提出了导航查询使用不同数量结果的非均匀结果页面模型。实验结果表明,我们的方法最多可将高速缓存未命中次数减少9.17%(因为更好地利用了高速缓存空间)。此外,以导航段的数量来衡量的带宽使用率,对于导航查询也减少了71%。这意味着传输的网络数据包的数量显着减少,这对于移动搜索场景尤其重要。 。一项用户研究表明,用户可以轻松地适应建议的结果页面模型,并且在实验中观察到的效率提高可以延续到现实生活中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号