Evaluation of session-based recommendation algorithms

@article{Ludewig2018EvaluationOS,
  title={Evaluation of session-based recommendation algorithms},
  author={Malte Ludewig and Dietmar Jannach},
  journal={User Modeling and User-Adapted Interaction},
  year={2018},
  pages={1-60}
}
Recommender systems help users find relevant items of interest, for example on e-commerce or media streaming sites. Most academic research is concerned with approaches that personalize the recommendations according to long-term user profiles. In many real-world applications, however, such long-term profiles often do not exist and recommendations therefore have to be made solely based on the observed behavior of a user during an ongoing session. Given the high practical relevance of the problem… CONTINUE READING

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