From 10 Blue Links Pages to Feature-Full Search Engine Results Pages -- Analysis of the Temporal Evolution of SERP Features
Web Search Engine Results Pages (SERP) are one of the most well-known and used web pages. These pages have started as simple ``10 blue links'' pages, but the information in SERP currently goes way beyond these links. Several features have been included in these pages to complement organic and sponsored results and attempt to provide answers to the query instead of just pointing to websites that might deliver that information. In this work, we analyze the appearance and evolution of SERP features in the two leading web search engines, Google Search and Microsoft Bing. Using a sample of SERP from the Internet Archive, we analyzed the appearance and evolution of these features. We found that SERP are becoming more diverse in terms of elements, aggregating content from different verticals and including more features that provide direct answers.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
CARL: Aggregated Search with Context-Aware Module Embedding Learning
Aggregated search aims to construct search result pages (SERPs) from blue-links and heterogeneous modules (such as news, images, and videos). Existing studies have largely ignored the correlations between blue-links and …
Representation LearningA Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines
A growing body of work has highlighted the important role that Wikipedia's volunteer-created content plays in helping search engines achieve their core goal of addressing the information needs of millions of people. In t…
The Evolution of Web Search User Interfaces -- An Archaeological Analysis of Google Search Engine Result Pages
Web search engines have marked everyone's life by transforming how one searches and accesses information. Search engines give special attention to the user interface, especially search engine result pages (SERP). The wel…
Layout DesignRecommending research articles to consumers of online vaccination information
Online health communications often provide biased interpretations of evidence and have unreliable links to the source research. We tested the feasibility of a tool for matching webpages to their source evidence. From 207…
ArticlesDimensionality ReductionRanking Heterogeneous Search Result Pages using the Interactive Probability Ranking Principle
The Probability Ranking Principle (PRP) ranks search results based on their expected utility derived solely from document contents, often overlooking the nuances of presentation and user interaction. However, with the ev…