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YouTube's content recommendation algorithm is designed to keep the user engaged as long as possible, which Roose calls the "rabbit hole effect". [5] The podcast features interviews with a variety of people involved with YouTube and the "rabbit hole effect". [6] For instance, in episode four Roose interviews Susan Wojcicki—the CEO of YouTube. [2]
For years YouTube's video-recommending algorithm has stood accused of fuelling a grab bag of societal ills by feeding users an AI-amplified diet of hate speech, political extremism and/or ...
As the numbers of users and items grow, traditional CF algorithms will suffer serious scalability problems [citation needed]. For example, with tens of millions of customers () and millions of items (), a CF algorithm with the complexity of is already too large. As well, many systems need to react immediately to online requirements and make ...
A few dozens or hundreds of users are presented recommendations created by different recommendation approaches, and then the users judge which recommendations are best. In A/B tests, recommendations are shown to typically thousands of users of a real product, and the recommender system randomly picks at least two different recommendation ...
This template is used to create an external link to YouTube in the ==External links== section. It may also be used for other YouTube links such as those in {{External media}}. This is not a citation template. Use {{cite AV media}} to provide bibliographic citations in footnotes.
The cold start problem is a well known and well researched problem for recommender systems.Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items (e-commerce, films, music, books, news, images, web pages) that are likely of interest to the user.
The alt-right pipeline (also called the alt-right rabbit hole) is a proposed conceptual model regarding internet radicalization toward the alt-right movement. It describes a phenomenon in which consuming provocative right-wing political content, such as antifeminist or anti-SJW ideas, gradually increases exposure to the alt-right or similar far-right politics.
In Richards' view, it achieved this viewership by "situat(ing) a piece of music, and the listening experience, in the greater context of all media, all experience"—referring to the variety of content encountered through its "Up Next" algorithm. [38] Crediting YouTube's mobile accessibility, vast library size, visuality, portability, on-demand ...