Computing Atlas

How Computing Was Built
Sign In
Text size
100%
Theme

Switch Atlas

Field

Recommender Systems

Information Systems

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
Origin Year
1979 1
Core Concern
Filtering information to suggest items, such as products or media, most relevant to a particular user. 1
Recommender Systems
Filter Results1 entry

John T. Riedl

Recommender Systems
Connections

Associated With

Data Mining, Fields
Information Retrieval, Fields
Machine Learning, Fields

Recommender systems are described as employing machine learning.

Source Recommender Systems (Wikipedia)
Paul Resnick, Pioneers
Source Wikipedia: Paul Resnick
Social Computing, Fields
Source Social Computing (Wikipedia)

Includes

Collaborative filtering, Algorithms
Source Collaborative filtering (Wikipedia)
John T. Riedl, Pioneers
Source John T. Riedl (Wikipedia)
Nivio Ziviani, Pioneers
Source Wikipedia: Nivio Ziviani
Recommender System, Algorithms
Source Recommender Systems (Wikipedia)
Sources
1. Recommender Systems (Wikipedia)
Wikimedia Foundation
  • Lead section
    A recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest items most relevant for some input or to a particular user. In the context of social media, search engines, and other online services, a recommender system for a given service might sometimes informally but erroneously be referred to as the service's "algorithm".
  • Wikipedia, Recommender system, History section, opening sentence
    Elaine Rich created the first recommender system in 1979, called Grundy.
  • Includes: Recommender System, Lead sentence
    recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest items most relevant for some input or to a particular user.
View the Source
Wikipedia: Paul Resnick
Associated With: Paul Resnick, Awards section
Quote, 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.
View the Source
Social Computing (Wikipedia)
Wikimedia FoundationAssociated With: Social Computing, Paragraph on the TikTok content recommendation example
Quote, 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.
View the Source
John T. Riedl (Wikipedia)
Includes: John T. Riedl, Lead
Quote, Includes: John T. Riedl, Lead
His published works include highly influential research on the social web, recommendation systems, and collaborative systems.
View the Source
Collaborative filtering (Wikipedia)
Includes: Collaborative filtering, Lead paragraph
Quote, Includes: Collaborative filtering, Lead paragraph
Collaborative filtering (CF) is, besides content-based filtering, one of two major techniques used by recommender systems.
View the Source
Wikipedia: Nivio Ziviani
Wikimedia FoundationIncludes: Nivio Ziviani, Lead paragraphView the Source
Comments (0)
No comments yet. Be the first to share a thought.
Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.