A recommender system, also called a recommendation algorithm, recommendation engine, or recommendation platform, is a type of information filtering system that suggests items most relevant to a particular user. The value of these systems becomes particularly evident in scenarios where users must select from a large number of options, such as products, media, or content. Major social media platforms, streaming services and e-commerce websites rely on recommender systems that employ machine learning or specialized deep learning recommendation models.
Facts
Core ConcernFiltering information to suggest items, such as products or media, most relevant to a particular user. 1 Connections
Associated With
Recommender systems are described as employing machine learning.
Source Recommender Systems (Wikipedia)
Source Wikipedia: Paul Resnick
Source Social Computing (Wikipedia)
Sources
1. Recommender Systems (Wikipedia)
Wikimedia FoundationLead paragraph, first sentence
A recommender system, also called a recommendation algorithm, recommendation engine, recommendation platform, or in the context of social media, simply algorithm is a type of information filtering system that suggests items most relevant to a particular user.
Wikipedia, Recommender system, History section, opening sentence
Elaine Rich created the first recommender system in 1979, called Grundy.
Associated With: Machine Learning, Lead section
Major social media platforms, streaming services and e-commerce websites rely on recommender systems that employ machine learning or specialized deep learning recommendation models (DLRMs)
View the Source Wikipedia: Paul Resnick
Associated With: Paul Resnick, Awards sectionQuote, Associated With: Paul Resnick, Awards section
He received the 2010 ACM Software Systems Award for his work on the GroupLens Collaborative Filtering Recommender System which showed how distributed users could personalize recommendations via ratings.
Social Computing (Wikipedia)
Wikimedia FoundationAssociated With: Social Computing, Paragraph on the TikTok content recommendation exampleQuote, Associated With: Social Computing, Paragraph on the TikTok content recommendation example
One recent example of social computing is how platforms like TikTok use community engagement and user feedback to influence content recommendation algorithms, effectively blending algorithmic curation with social behavior.
Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.
Sign in to dispute this or suggest a correction.