Recently added

CORA: Recently added

  • Chisca, Danuta Sorina (2019-11)
    This thesis focuses on matching under ordinal preferences, i.e. problems where agents may be required to list other agents that they find acceptable in order of preference. In particular, we focus on two main cases: the ...
  • Rana, Arpit (2019-10-14)
    Recommender systems are discovery tools. Typically, they infer a user's preferences from her behaviour and make personalized suggestions. They are one response to the overwhelming choices that the Web affords its users. ...
  • Kaya, Mesut (University College Cork, 2019)
    A user of a recommender system is more likely to be satisfied by one or more of the recommendations if each individual recommendation is relevant to her but additionally if the set of recommendations is diverse. The most ...
  • Genc, Begum (University College Cork, 2019)
    This dissertation focuses on a novel concept of robustness within the context of matching problems. Our robustness notion for the stable matching framework is motivated by the unforeseen events that may occur after a ...
  • Peña, Francisco J. (University College Cork, 2019)
    In the digital era, users have, more than at any point in history, a large amount of products or services to choose from. Recommender systems help to overcome this problem by suggesting which products or services to consume ...
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