134 research outputs found
A Survey on True-reputation Algorithm for Trustworthy Online Rating System
The average of customer ratings on a product, which we call a reputation, is one of the key factors in online shoping. The common way for customers to express their satisfaction level with their purchases is through online ratings. The overall buyer?s satisfaction is quantified as the aggregated score of all ratings and is available to all buyers. This average score and reputation of a product acts as a guide for online buyers and highly influences consumer?s final purchase decisions. The trustworthiness of a reputation can be achieved when a large number of buyers involved in ratings with honesty. If some users wantedly give unfair ratings to a item, especially when few users have participated, the reputation of the product could easily be modified. In order to improve the trustworthiness of the products in e-commerce sites a new model is proposed with a true - reputation algorithm that repeatedly adjusts the reputation based on the confidence of the user ratings
Human Factors in Agile Software Development
Through our four years experiments on students' Scrum based agile software
development (ASD) process, we have gained deep understanding into the human
factors of agile methodology. We designed an agile project management tool -
the HASE collaboration development platform to support more than 400 students
self-organized into 80 teams to practice ASD. In this thesis, Based on our
experiments, simulations and analysis, we contributed a series of solutions and
insights in this researches, including 1) a Goal Net based method to enhance
goal and requirement management for ASD process, 2) a novel Simple Multi-Agent
Real-Time (SMART) approach to enhance intelligent task allocation for ASD
process, 3) a Fuzzy Cognitive Maps (FCMs) based method to enhance emotion and
morale management for ASD process, 4) the first large scale in-depth empirical
insights on human factors in ASD process which have not yet been well studied
by existing research, and 5) the first to identify ASD process as a
human-computation system that exploit human efforts to perform tasks that
computers are not good at solving. On the other hand, computers can assist
human decision making in the ASD process.Comment: Book Draf
BNAIC 2008:Proceedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intelligence Conference
JURI SAYS:An Automatic Judgement Prediction System for the European Court of Human Rights
In this paper we present the web platform JURI SAYS that automatically predicts decisions of the European Court of Human Rights based on communicated cases, which are published by the court early in the proceedings and are often available many years before the final decision is made. Our system therefore predicts future judgements of the court. The platform is available at jurisays.com and shows the predictions compared to the actual decisions of the court. It is automatically updated every month by including the prediction for the new cases. Additionally, the system highlights the sentences and paragraphs that are most important for the prediction (i.e. violation vs. no violation of human rights)
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