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Filtering algorithms for the unary resource constraint

100%

Vilim P.

Archives of Control Sciences

2008

tom Vol. 18, no. 2

159-202

Scheduling is one of the most successful application areas of constraint programming mainly due to special global constraints designed to model resource restrictions. Among scheduling constraints, the most useful and most studied constraint is probably the unary resource constraint. This paper presents state-of-the-art filtering algorithms for this important constraint. These algorithms are very fast (almost all of them has time complexity O(n log n) and furthermore they are able to take into account so called optional activities, that is, activities which may or may not appear in the schedule depending for example on a resolution of an alternative processing rule(s). In particular, this paper presents the following algorithms: overload checking, edge finding, not-first/not-last, detectable precedences and precedence energy.

Demokratyczna debata w mediach społecznościowych – utopijne nadzieje I smutna rzeczywistość

86%

Miotk A.

Polityka i Społeczeństwo

2020

tom 18

nr 3

63-79

The text analyzes social media in terms of the possibility of conducting a democratic debate through them. Initially, their users had great hopes to do so. Social media were to be not only a tool for expressing opinions or presenting statements but also for disseminating the model of liberal democracy. However, the business model of these media, as well as content filtering algorithms, introduced to protect users against information overload, prevented this from happening. To prove this thesis, the author referred to Sunstein's public forum doctrine and proved that social media do not constitute its equivalent. Although the media provided a space for discussion, they did not ensure equal access for senders of messages to recipients and recipients to a variety of content. The topic of the negative impact of social media on liberal democracy is already raised in English scholarship (and is already present in Poland through its translations) and it is also gradually gaining academic currency among Polish researchers. What constitutes a novel contribution to the already available research is the presentation of social media in the context of the utopian high hopes the media initially raised.

Emotion-Based Literature Books Recommender Systems

58%

Luțan E.-R. , Bădică C.

Annals of Computer Science and Information Systems

2023

tom Vol. 35

275--280

In this paper we propose two book recommendation methods based on emotions extracted from user reviews, using content-based filtering and collaborative filtering. The methods were experimentally evaluated on our own dataset that we collected from Goodreads -- a popular website with large database of books and readers reviews. We created an experimental setup where the recommendation algorithms for carrying out the evaluation using two proposed evaluation metrics: coverage and average recommendations similarity.