4 Matching Annotations
  1. Oct 2018
    1. It has been demonstrated that this formulation is almost equivalent to a SLIM model,[9] which is an item-item model based recommender

      So a pre-trained item model can be used to make such recommendations.

    2. The user's latent factors represent the preference of that user for the corresponding item's latent factors

      The higher the value of the dot product between the two, the higher the preference.

    3. two lower dimensional matrices

      Not necessary (in fact, often not) square. Typically each user is represented by a vector of dimension strictly less than the number of items and vice versa.

  2. Nov 2015
    1. a study by Stephen Schueller, published last year in the Journal of Positive Psychology, found that people assigned to a happiness activity similar to one for which they previously expressed a preference showed significantly greater increases in happiness than people assigned to an activity not based on a prior preference. This, writes Schueller, is “a model for positive psychology exercises similar to Netflix for movies or Amazon for books and other products.”