Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Peška, Ladislav"'
In the area of recommender systems, we are dealing with aggregations and potential of personalisation in ecosystems. Personalisation is based on separate aggregation models for each user. This approach reveals differences in user preferences, especia
Externí odkaz:
http://arxiv.org/abs/2406.07264
Multi-objective recommender systems (MORS) provide suggestions to users according to multiple (and possibly conflicting) goals. When a system optimizes its results at the individual-user level, it tailors them on a user's propensity towards the diffe
Externí odkaz:
http://arxiv.org/abs/2307.00654
Autor:
Peška, Ladislav
This thesis investigates the area of preference learning and recommender systems. We concentrated recommending on small e-commerce vendors and efficient usage of implicit feedback. In contrast to the most published studies, we focused on investigatin
Externí odkaz:
http://www.nusl.cz/ntk/nusl-347511
Autor:
Peska, Ladislav, Vojtas, Peter
In this paper, we present our work towards comparing on-line and off-line evaluation metrics in the context of small e-commerce recommender systems. Recommending on small e-commerce enterprises is rather challenging due to the lower volume of interac
Externí odkaz:
http://arxiv.org/abs/1809.03186
Autor:
Peska, Ladislav, Trojanova, Hana
Photo lineups play a significant role in the eyewitness identification process. This method is used to provide evidence in the prosecution and subsequent conviction of suspects. Unfortunately, there are many cases where lineups have led to the convic
Externí odkaz:
http://arxiv.org/abs/1707.01389
Akademický článek
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Autor:
Peska, Ladislav
Publikováno v:
EPTCS 233, 2016, pp. 1-12
Our work is generally focused on recommending for small or medium-sized e-commerce portals, where explicit feedback is absent and thus the usage of implicit feedback is necessary. Nonetheless, for some implicit feedback features, the presentation con
Externí odkaz:
http://arxiv.org/abs/1612.04978
Autor:
Peška, Ladislav
The goal of the thesis is first to find available information about user preferences, user feedback and their acquisition, processing, storing etc. The collected information is then used for making suggestions / advices for the creating an recommende
Externí odkaz:
http://www.nusl.cz/ntk/nusl-297866
Akademický článek
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Publikováno v:
In Swarm and Evolutionary Computation August 2019 48:201-219
