Zobrazeno 1 - 10
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pro vyhledávání: '"CAMPOS, LUIS"'
Autor:
Mitra, Gautam, Zheng, Jueting, Schaefer, Karen, Deffner, Michael, Low, Jonathan Z., Campos, Luis M., Herrmann, Carmen, Costi, Theo A., Scheer, Elke
The Blatter radical has been suggested as a building block in future molecular spintronic devices due to its radical character and expected long-spin lifetime. However, whether and how the radical character manifests itself in the charge transport an
Externí odkaz:
http://arxiv.org/abs/2408.00366
Personalization generally improves the performance of queries but in a few cases it may also harms it. If we are able to predict and therefore to disable personalization for those situations, the overall performance will be higher and users will be m
Externí odkaz:
http://arxiv.org/abs/2401.13351
Publikováno v:
Information Sciences 2018
In this paper, we examine the problem of building a user profile from a set of documents. This profile will consist of a subset of the most representative terms in the documents that best represent user preferences or interests. Inspired by the discr
Externí odkaz:
http://arxiv.org/abs/2401.10963
In the information age we are living in today, not only are we interested in accessing multimedia objects such as documents, videos, etc. but also in searching for professional experts, people or celebrities, possibly for professional needs or just f
Externí odkaz:
http://arxiv.org/abs/2401.10634
A common task in many political institutions (i.e. Parliament) is to find politicians who are experts in a particular field. In order to tackle this problem, the first step is to obtain politician profiles which include their interests, and these can
Externí odkaz:
http://arxiv.org/abs/2401.10617
In this paper we study the venue recommendation problem in order to help researchers to identify a journal or conference to submit a given paper. A common approach to tackle this problem is to build profiles defining the scope of each venue. Then, th
Externí odkaz:
http://arxiv.org/abs/2401.10611
In the context of content-based recommender systems, the aim of this paper is to determine how better profiles can be built and how these affect the recommendation process based on the incorporation of temporality, i.e. the inclusion of time in the r
Externí odkaz:
http://arxiv.org/abs/2401.10607