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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. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    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 ...

  4. Posting style - Wikipedia

    en.wikipedia.org/wiki/Posting_style

    When a message is replied to in e-mail, Internet forums, or Usenet, the original can often be included, or "quoted", in a variety of different posting styles.. The main options are interleaved posting (also called inline replying, in which the different parts of the reply follow the relevant parts of the original post), bottom-posting (in which the reply follows the quote) or top-posting (in ...

  5. SBAR - Wikipedia

    en.wikipedia.org/wiki/SBAR

    SBAR is an acronym for Situation, Background, Assessment, Recommendation; a technique that can be used to facilitate prompt and appropriate communication. This communication model has gained popularity in healthcare settings, especially amongst professions such as physicians and nurses .

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  8. LinkedIn - Wikipedia

    en.wikipedia.org/wiki/LinkedIn

    LinkedIn has more than 1 billion registered members from over 200 countries and territories. [7] LinkedIn allows members (both employees and employers) to create profiles and connect with each other in an online social network which may represent real-world professional relationships. Members can invite anyone (whether an existing member or not ...

  9. Matrix factorization (recommender systems) - Wikipedia

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

    This is an example of a cold-start problem, that is the recommender cannot deal efficiently with new users or items and specific strategies should be put in place to handle this disadvantage. [ 12 ] A possible way to address this cold start problem is to modify SVD++ in order for it to become a model-based algorithm, therefore allowing to ...