Introducing Serendipity in a Content-Based Recommender System

  title={Introducing Serendipity in a Content-Based Recommender System},
  author={Leo Iaquinta and Marco Degemmis and Pasquale Lops and Giovanni Semeraro and Michele Filannino and Piero Molino},
  journal={2008 Eighth International Conference on Hybrid Intelligent Systems},
Today recommenders are commonly used with various purposes, especially dealing with e-commerce and information filtering tools. Content-based recommenders rely on the concept of similarity between the bought/ searched/ visited item and all the items stored in a repository. It is a common belief that the user is interested in what is similar to what she has already bought/searched/visited. We believe that there are some contexts in which this assumption is wrong: it is the case of acquiring… CONTINUE READING
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