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  2. Viacom International Inc. v. YouTube, Inc. - Wikipedia

    en.wikipedia.org/wiki/Viacom_International_Inc...

    Judge Louis Stanton dismissed the privacy concerns as "speculative", and ordered YouTube to hand over documents totaling about 12 terabytes of data. [12] On the other hand, Stanton rejected Viacom's request that YouTube hand over the source code of its search engine, saying that it was a trade secret.

  3. Personalized search - Wikipedia

    en.wikipedia.org/wiki/Personalized_search

    The foundation of the argument against the use of personalized search is because it limits the users' ability to become exposed to material that would be relevant to the user's search query but due to the fact that some of this material differs from the user's interests and history, the material is not displayed to the user.

  4. Censorship by Google - Wikipedia

    en.wikipedia.org/wiki/Censorship_by_Google

    In October 2020, PewDiePie was allegedly shadow-banned by YouTube, which led to his channel and videos becoming unavailable on search results. However, YouTube denied shadow-banning him, although the human review was restricted due to the COVID-19 pandemic. YouTube was criticized by PewDiePie himself, his fans, other YouTubers, and netizens ...

  5. Google Personalized Search - Wikipedia

    en.wikipedia.org/wiki/Google_Personalized_Search

    The top factors in personalizing search results are: Location; Search History; Web History; Social Networks; Each of these variables will factor into the personalization of a user's search results in hopes of quickly providing the most relevant results to the user to answer whatever question is being asked. [13]

  6. Contextual searching - Wikipedia

    en.wikipedia.org/wiki/Contextual_searching

    Contextual search is a form of optimizing web-based search results based on context provided by the user and the computer being used to enter the query. [1] Contextual search services differ from current search engines based on traditional information retrieval that return lists of documents based on their relevance to the query.

  7. Relevance feedback - Wikipedia

    en.wikipedia.org/wiki/Relevance_feedback

    The idea behind relevance feedback is to take the results that are initially returned from a given query, to gather user feedback, and to use information about whether or not those results are relevant to perform a new query. We can usefully distinguish between three types of feedback: explicit feedback, implicit feedback, and blind or "pseudo ...

  8. Social search - Wikipedia

    en.wikipedia.org/wiki/Social_search

    In the algorithmic ranking model that search engines used in the past, relevance of a site is determined after analyzing the text and content on the page and link structure of the document. In contrast, search results with social search highlight content that was created or touched by other users who are in the Social Graph of the person ...

  9. YouTube - Wikipedia

    en.wikipedia.org/wiki/YouTube

    YouTube is an American social media and online video sharing platform owned by Google. YouTube was founded on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim, three former employees of PayPal. Headquartered in San Bruno, California, it is the second-most-visited website in the world, after Google Search.