Which algorithm, historically used by Facebook, factors in affinity, weight, and time decay to rank posts in a user’s news feed?

Correct option is A

EdgeRank was the algorithm used by Facebook to rank posts in a user's news feed. It factored in the affinity between the user and the content, the weight of the content (e.g., likes, comments, shares), and the time decay, which determined how recent or relevant the post was.
Important Key Points:
1. EdgeRank: EdgeRank was based on three main factors:
· Affinity: The strength of the relationship between the user and the content or the person posting it.
· Weight: The importance of the post, determined by how much interaction (likes, shares, comments) it received.
· Time Decay: The freshness of the content, meaning newer posts had higher chances of appearing in the feed.
2. Ranking Mechanism: The combination of these factors helped Facebook prioritize and rank posts, ensuring that users saw the most relevant content based on their interactions and recent activity.
3. Historical Use: EdgeRank was Facebook's original news feed algorithm before it was replaced by more complex algorithms that consider additional factors like content type and user behavior.
Knowledge Booster:
· ContentRank: ContentRank is not a Facebook algorithm. It is a hypothetical or lesser-known algorithm that could rank content based on its characteristics but was never used by Facebook for news feed ranking.
· SocialRank: SocialRank is a tool for analyzing and managing social media accounts, not a ranking algorithm used by Facebook for news feeds.
· PageRank: PageRank is a famous algorithm originally used by Google to rank web pages in search results. While it influenced social media algorithms, it was not used by Facebook for news feed ranking.