Facebook’s News Feed ranking systems
E1328935
UNEXPLORED
Facebook’s News Feed ranking systems are the machine-learning–driven algorithms that determine which posts and updates users see and in what order on the Facebook platform.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Facebook’s News Feed ranking systems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T18528268 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Facebook’s News Feed ranking systems Context triple: [Facebook Engineering, developedTechnology, Facebook’s News Feed ranking systems]
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A.
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
"Networks, Crowds, and Markets: Reasoning About a Highly Connected World" is an interdisciplinary textbook that introduces the mathematical and conceptual foundations of network science, game theory, and market dynamics in complex social and economic systems.
-
B.
Recommender Systems: The Textbook
Recommender Systems: The Textbook is a comprehensive academic book by Charu C. Aggarwal that systematically covers the theory, algorithms, and practical applications of modern recommender systems.
-
C.
The Facebook Effect
The Facebook Effect is a nonfiction book by David Kirkpatrick that chronicles the founding, growth, and global impact of Facebook on technology, business, and society.
-
D.
Whuffie
Whuffie is a fictional reputation-based currency that measures social capital and replaces money in Cory Doctorow’s science fiction novel "Down and Out in the Magic Kingdom."
-
E.
Building Social Business
"Building Social Business" is a book by Nobel laureate Muhammad Yunus that outlines the concept and practice of businesses designed primarily to solve social problems rather than maximize profit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Facebook’s News Feed ranking systems Target entity description: Facebook’s News Feed ranking systems are the machine-learning–driven algorithms that determine which posts and updates users see and in what order on the Facebook platform.
-
A.
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
"Networks, Crowds, and Markets: Reasoning About a Highly Connected World" is an interdisciplinary textbook that introduces the mathematical and conceptual foundations of network science, game theory, and market dynamics in complex social and economic systems.
-
B.
Recommender Systems: The Textbook
Recommender Systems: The Textbook is a comprehensive academic book by Charu C. Aggarwal that systematically covers the theory, algorithms, and practical applications of modern recommender systems.
-
C.
The Facebook Effect
The Facebook Effect is a nonfiction book by David Kirkpatrick that chronicles the founding, growth, and global impact of Facebook on technology, business, and society.
-
D.
Whuffie
Whuffie is a fictional reputation-based currency that measures social capital and replaces money in Cory Doctorow’s science fiction novel "Down and Out in the Magic Kingdom."
-
E.
Building Social Business
"Building Social Business" is a book by Nobel laureate Muhammad Yunus that outlines the concept and practice of businesses designed primarily to solve social problems rather than maximize profit.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.