When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. EdgeRank - Wikipedia

    en.wikipedia.org/wiki/EdgeRank

    EdgeRank is the name commonly given to the algorithm that Facebook uses to determine what articles should be displayed in a user's News Feed.As of 2011, Facebook has stopped using the EdgeRank system and uses a machine learning algorithm that, as of 2013, takes more than 100,000 factors into account.

  3. Facebook - Wikipedia

    en.wikipedia.org/wiki/Facebook

    They included more than 15,000 pages combined and were viewed by 140 million US users per month. This was in part due to how Facebook's algorithm and policies allow unoriginal viral content to be copied and spread in ways that still drive up user engagement.

  4. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.

  5. Criticism of Facebook - Wikipedia

    en.wikipedia.org/wiki/Criticism_of_Facebook

    In 2015, researchers from Facebook published a study indicating that the Facebook algorithm perpetuates an echo chamber amongst users by occasionally hiding content from individual feeds that users potentially would disagree with: for example the algorithm removed one in every 13 diverse content from news sources for self-identified liberals.

  6. List of Facebook features - Wikipedia

    en.wikipedia.org/wiki/List_of_Facebook_features

    The news feed is the primary system through which users are exposed to content posted on the network. Using a secret method (initially known as EdgeRank), Facebook selects a handful of updates to actually show users every time they visit their feed, out of an average of 1500 updates they can potentially receive.

  7. fastText - Wikipedia

    en.wikipedia.org/wiki/FastText

    fastText is a library for learning of word embeddings and text classification created by Facebook's AI ... learning or supervised learning algorithm for obtaining ...

  8. Facebook Graph Search - Wikipedia

    en.wikipedia.org/wiki/Facebook_Graph_Search

    Facebook Graph Search was a semantic search engine that Facebook ... Graph Search operated by use of a search algorithm similar to traditional search engines such as ...

  9. History of Facebook - Wikipedia

    en.wikipedia.org/wiki/History_of_Facebook

    Facebook announces algorithm changes that penalize "clickbait" titles, based on a score assigned by a machine-learned model. The model is trained based on cases where users like a link, click it, and then immediately bounce and unlike pages. The algorithm is applied both at the web domain level and at the Facebook page level. [561] [562] [563] 2016