Understanding Google’s PageRank Algorithm(Practical Data Analysis 25)
Discover how Google's PageRank algorithm revolutionized search engines by assessing webpage quality and authority, influencing everything from SEO to social media impact.
Welcome to the "Practical Data Analysis" Series.
The development of the internet has made search engines highly effective. Nowadays, you can easily find relevant content by simply entering a keyword, and the quality of search results is generally good.
However, before 1998, the search engine experience was far from ideal. Early search engines faced two major problems:
Low Quality of Results: Search results did not take the quality of web pages into account but instead were based on the chronological order of pages.
Vulnerability to Manipulation: Since search engines relied on keywords for searching, the more times a keyword appeared on a page, the higher its match score. This created an opportunity for web page manipulation, where some websites intentionally increased the frequency of certain keywords to improve their search engine ranking.
To address these flaws, Google founder Larry Page proposed the PageRank algorithm, which aimed to identify high-quality web pages. This allowed Google’s ranking results not only to find content users wanted but also to filter out the most authoritative pages from among a vast number of others.
The two founders of Google, both PhD students at Stanford University, were inspired by the concept of evaluating a paper’s influence by the number of citations it received. The more times a paper is cited, the greater its perceived influence. This idea helped solve the problem of low-quality web page searches at the time.
