TR 14-016 Feature-based Similarity Models for Top-n Recommendation of New Items

@inproceedings{Elbadrawy2014TR1F,
  title={TR 14-016 Feature-based Similarity Models for Top-n Recommendation of New Items},
  author={Asmaa Elbadrawy and George Karypis},
  year={2014}
}
Recommending new items for suitable users is an important yet challenging problem due to the lack of preference history for the new items. Non-collaborative user modeling techniques that rely on the item features can be used to recommend new items. However, they only use the past preferences of each user to provide recommendations for that user. They do not utilize information from the past preferences of other users which can potentially be ignoring useful information. More recent factor… CONTINUE READING
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