论文标题
搜索引擎相似性分析:一种组合内容和排名方法
Search Engine Similarity Analysis: A Combined Content and Rankings Approach
论文作者
论文摘要
搜索引擎有何不同?搜索引擎战争是在线分析师的最爱主题,作为世界上最大的两家公司,Google和Microsoft,Web搜索领域的流行战。搜索引擎受欢迎程度的差异可以用它们的有效性或其他因素来解释,例如熟悉最受欢迎的第一引擎,同伴模仿或习惯力量。在这项工作中,我们对两种主要搜索引擎的亲和力进行了彻底的分析,Google和Bing以及DuckDuckgo也竭尽全力强调其隐私友好的证书。为此,我们使用了2016年和2019年的两个时间段的300个唯一查询集收集搜索结果,并开发了一种新的相似性度量,该指标利用了搜索响应的内容和排名。我们评估了文献中提出的其他指标和方法的度量特征,并将其用于(1)研究搜索引擎结果的相似性,(2)其亲和力随时间的发展,(3)结果的哪些方面影响相似性,以及(4)指标在不同类型的搜索服务上如何差异。我们发现Google分开了,但是Bing和Duckduckgo在很大程度上是无法区分的。
How different are search engines? The search engine wars are a favorite topic of on-line analysts, as two of the biggest companies in the world, Google and Microsoft, battle for prevalence of the web search space. Differences in search engine popularity can be explained by their effectiveness or other factors, such as familiarity with the most popular first engine, peer imitation, or force of habit. In this work we present a thorough analysis of the affinity of the two major search engines, Google and Bing, along with DuckDuckGo, which goes to great lengths to emphasize its privacy-friendly credentials. To do so, we collected search results using a comprehensive set of 300 unique queries for two time periods in 2016 and 2019, and developed a new similarity metric that leverages both the content and the ranking of search responses. We evaluated the characteristics of the metric against other metrics and approaches that have been proposed in the literature, and used it to (1) investigate the similarities of search engine results, (2) the evolution of their affinity over time, (3) what aspects of the results influence similarity, and (4) how the metric differs over different kinds of search services. We found that Google stands apart, but Bing and DuckDuckGo are largely indistinguishable from each other.