Online Agent-Based Aerial Patrol Planning for Wildlife Surveillance

Wildlife conservation efforts are constrained by a limited amount of resources available for surveillance activities. UAVs are used increasingly to assist rangers in patrol tasks. Effectively patrolling wildlife parks requires detailed knowledge of the environment and its threats, which is not always available. Previous work in Green Security...

Exploring Exploration in Recommender Systems: Where? How Much? For Whom?

Recommender systems focus on automatically surfacing suitable items for users from digital collections that are too large for the user to oversee themselves. A considerable body of work exists on surfacing items that match what a user liked in the past; this way, the recommender system will exploit its knowledge of a user's comfort zone. However...

Is de bandit-methode een verbetering op de klassieke methode van A/B-testen?

In dit onderzoek zijn twee manieren van A/B-testen met elkaar vergeleken. A/B-testen is het vergelijken van verschillende website versies om te achterhalen welke versie voor een hogere opbrengt zorgt. Consumenten krijgen afzonderlijk meerdere versies van een website te zien: versie A, versie B, versie C, et cetera. De websites verschillen op...

An Ensemble Approach for News Recommendation Based on Contextual Bandit Algorithms

News recommendation is a field different from traditional recommendation fields. News articles are created and deleted continuously with a very short life cycle. Users' preference is also hard to model since they can easily be attracted by things happening around them. With all those challenges, traditional recommendation approaches, such as...

CLEF NewsREEL 2017 Overview: Contextual Bandit News Recommendation

In the CLEF NewsREEL 2017 challenge, we build a delegation model based on the contextual bandit algorithm. Our goal is to investigate whether a bandit approach combined with context extracted from the user side, from the item side and from user-item interaction can help choose the appropriate recommender from a recommender algorithm pool for the...