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  2. 5 ways to write a horrible LinkedIn recommendation - AOL

    www.aol.com/2016-05-05-5-ways-to-write-a...

    Good LinkedIn recommendations can boost your profile, but bad recommendations, on the other hand, are worse than nothing at all. Good LinkedIn recommendations can boost your profile, but bad ...

  3. Letter of recommendation - Wikipedia

    en.wikipedia.org/wiki/Letter_of_recommendation

    A letter of recommendation or recommendation letter, also known as a letter of reference, reference letter, or simply reference, is a document in which the writer assesses the qualities, characteristics, and capabilities of the person being recommended in terms of that individual's ability to perform a particular task or function.

  4. Like button - Wikipedia

    en.wikipedia.org/wiki/Like_button

    Example of a like button. A like button, like option, or recommend button is a feature in communication software such as social networking services, Internet forums, news websites and blogs where the user can express that they like, enjoy or support certain content. [1]

  5. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    Netflix is a good example of the use of hybrid recommender systems. [61] The website makes recommendations by comparing the watching and searching habits of similar users (i.e., collaborative filtering) as well as by offering movies that share characteristics with films that a user has rated highly (content-based filtering).

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  8. Matrix factorization (recommender systems) - Wikipedia

    en.wikipedia.org/wiki/Matrix_factorization...

    While Funk MF is able to provide very good recommendation quality, its ability to use only explicit numerical ratings as user-items interactions constitutes a limitation. Modern day recommender systems should exploit all available interactions both explicit (e.g. numerical ratings) and implicit (e.g. likes, purchases, skipped, bookmarked). To ...

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