Zobrazeno 1 - 10
of 965
pro vyhledávání: '"Luna, P. M."'
Customer segmentation is a fundamental process to develop effective marketing strategies, personalize customer experience and boost their retention and loyalty. This problem has been widely addressed in the scientific literature, yet no definitive so
Externí odkaz:
http://arxiv.org/abs/2405.17467
Publikováno v:
Knowledge and Information Systems (2022); 64:1349-1384
The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery approach based on MapReduce. The final objective is to discover IF-THEN rules that appear in diffe
Externí odkaz:
http://arxiv.org/abs/2403.05555
Separating C6 cyclic hydrocarbons, specifically benzene and cyclohexane, presents a significant industrial challenge due to their similar physicochemical properties. We conducted Monte Carlo simulations in the Grand-Canonical ensemble to acquire adso
Externí odkaz:
http://arxiv.org/abs/2402.04402
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
Our goal is to learn about the political interests and preferences of the Members of Parliament by mining their parliamentary activity, in order to develop a recommendation/filtering system that, given a stream of documents to be distributed among th
Externí odkaz:
http://arxiv.org/abs/2401.10961
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