Interactive scheduling of appliance usage in the home

We address the problem of recommending an appliance usage schedule to the homeowner which balances between maximising total savings and maintaining sufficient user convenience. An important challenge within this problem is how to elicit the user preferences with low intrusiveness, in order to identify new schedules with high cost savings, that still lies within the user’s comfort zone. To tackle this problem we propose iDR, an interactive system for generating personalised appliance usage scheduling recommendations that maximise savings and convenience with minimal intrusiveness. In particular, our system learns when to stop interacting with the user during the preference elicitation process, in order to keep the bother cost (e.g., the amount of time the user spends, or the cognitive cost of interacting) minimal. We demonstrate through extensive empirical evaluation on real–world data that our approach improves savings by up to 35%, while maintaining a significantly lower bother cost, compared to state-of the-art benchmarks

RELATIONSHIP BETWEEN SEAFOOD EXPORT AND VIETNAM'S ECONOMIC GROWTH IN THE PERIOD OF 2005 – 2022

This article studies the relationship between seafood exports and Vietnam's economic growth in the period 2005 - 2022.  To conduct the research, the authors collected data on seafood export turnover and economic growth rate - represented by real gross domestic product (GDPr) in the period from 2005 to 2022. Data is collected from the General Statistics Office of Vietnam (GSO) and international financial statistics sites (IFS, IMF).  After synthesizing and cleaning the data, the research team used Eviews 8 software to analyze the data series to examine the relationship between seafood export turnover and economic growth during the research period. Model results show that when seafood export turnover increases by 1%, economic growth increases by 1.041382%, so it can be confirmed that seafood export has a positive relationship with Vietnam's economic growth during the research period. From the research results, the authors have several proposals to promote the growth of Vietnamese seafood exports to the international market in the post-pandemic context and the volatile world seafood market situation

What prize is right? How to learn the optimal structure for crowdsourcing contests

In crowdsourcing, one effective method for encouraging par-ticipants to perform tasks is to run contests where participants compete against each other for rewards. However, there are numerous ways to implement such contests in specific projects. They could vary in their structure (e.g., performance evaluation and the number of prizes) and parameters (e.g., the maximum number of participants and the amount of prize money). Additionally, with a given budget and a time limit, choosing incentives (i.e., contest structures with specific parameter values) that maximise the overall utility is not trivial, as their respective effectiveness in a specific project is usually unknown a priori. Thus, in this paper, we propose a novel algorithm, BOIS (Bayesian-optimisation-based incentive selection), to learn the optimal structure and tune its parameters effectively. In detail, the learning and tuning problems are solved simultaneously by using online learning in combination with Bayesian optimisation. The results of our extensive simulations show that the performance of our algorithm is up to 85% of the optimal and up to 63% better than state-of-the-art benchmarks