Introducing Serendipity in a Content-Based Recommender System

@article{Iaquinta2008IntroducingSI,
  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},
  year={2008},
  pages={168-173}
}
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
Highly Cited
This paper has 108 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 62 extracted citations

109 Citations

01020'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 109 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…