Mapping social context of sustainable attitudes using stakeholder analysis with discourse analysis: Investigating the maritime sector in order to provide knowledge about future technological pathways

Maritime sectors have been notorious for their slow paced innovation efforts and although it is an efficient sector, it has big impact on the environment just because of the size of the industry (M. Rahim, et al. 2016). There is a lot of activity on the seas, changes in this sector could make a big difference when making our world become more...

Competitive Investors: A Game Theoretical Approach on Hedge Fund Dynamic Analysis

The Competitive Investor Game from Bell & Cover (1980) and the 푘-Player Ranking Game from Alpern & Howard (2017) are analysed in thesis. Optimal strategies have been derived and the related proofs have been given a new look. The Symmetric Multiplayer Ranking Game is considered as the general interpretation of financial competition among...

Determine and explain confidence in predicting violations on inland ships in the Netherlands

For real-world problems even the most complex machine learning models can only achieve a certain accuracy. This makes it important to understand why a specific prediction is made. Explanations can provide human decision support by allowing human experts to assess the reasoning of the model as well as the correctness. Specifically, in this thesis...

MANtIS: a novel information seeking dialogues dataset

Nowadays, most users access the web through search engine portals. However, information needs can often be ill-defined or too broad to be solvable by a list of results the user has to scroll through, which implies that he is most likely required to refine the need by himself to reach the desired result. In recent years, researchers have...

Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking

This thesis focuses on the field of Job Recommendation. Particularly, we focus on using implicit preferences exhibited by the job seeker in interactions with a web platform to propose an improved ranking algorithm for a job recommendation platform called Magnet.me. We also study evaluation of relevance, and evaluation of recommendation sorting...

Ranking items: Is solving a seriation problem a good alternative for existing methods?

In this dissertation we look at the seriation problem and the applications of this problem. Given a set of items, we try to find an ordering based on the similarity between the items. We start by explaining the mathematical theory behind the seriation problem. Then we describe a couple of different methods that can be used to find a solution for...