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Following surveys of Facebook users, [27] this desire for change will take the form of a reconfiguration of the News Feed algorithms in order to: Prioritize content of family members and friends (Mark Zuckerberg January 12, Facebook: [28] "The first changes you'll see will be in News Feed, where you can expect to see more from your friends, family and groups".)
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The user based top-N recommendation algorithm uses a similarity-based vector model to identify the k most similar users to an active user. After the k most similar users are found, their corresponding user-item matrices are aggregated to identify the set of items to be recommended.
A study by data scientists at Facebook found that users have one friend with contrasting views for every four Facebook friends that share an ideology. [53] [54] No matter what Facebook's algorithm for its News Feed is, people are more likely to befriend/follow people who share similar beliefs. [53]
Typically, research on recommender systems is concerned with finding the most accurate recommendation algorithms. However, there are a number of factors that are also important. Diversity – Users tend to be more satisfied with recommendations when there is a higher intra-list diversity, e.g. items from different artists. [96] [97]
Algorithmic curation is the selection of online media by recommendation algorithms and personalized searches. Examples include search engine and social media products [1] such as the Twitter feed, Facebook's News Feed, and the Google Personalized Search.
Facebook Graph Search feature. Facebook Graph Search was a semantic search engine that Facebook introduced in March 2013. It was designed to give answers to user natural language queries rather than a list of links. [1] The name refers to the social graph nature of Facebook, which maps the relationships among users.
Listen with Friends allows Facebook users to listen to music and discuss the tunes using Facebook Chat with friends at the same time. Users can also listen in as a group while one friend acts as a DJ. Up to 50 friends can listen to the same song at the same time, and chat about it.