This paper is focused on the information retrieval area. Implicit user feedback is today very important part of this research area. Increase of the amount of information also increases the time to find relevant information. Currently most Web search engines produce the same results independently of who the user is. The article includes system design, which implements an implicit users feedback ...

We develop an adaptive feedback-controlled scheduling algorithm for changing the processor shares of tasks—a process called reweighting—on real-time multiprocessor platforms. Our particular focus is reweighting schemes that are deployed in environments in which tasks may frequently require significant share changes. Prior work on enabling real-time adaptivity on multiprocessors has focused excl...

Researchers conducting evaluations in the fields of User Modelling and Personalisation face the challenge of missing continuing evaluation feedback and collaboration with the overall research community. This missing ability results in limitations such as missing feedback on evaluation approaches, missing insight into other potentially usable evaluation results, and the lack of creating shared e...

This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore more useful information to improve retrieval performance. In our experiments, local co-occurrence model and a Rocchio formula were used to select good expansion terms. Five runs were submitted. These runs used differen...

This paper is focused on the dynamic output feedback control of sampled-data system with actuator saturation using quantized measurements. The output signals are quantized before they are transmitted to dynamic output-feedback controller. An augmented system is constructed through a closed-loop system, which is a model with an interval time-varying delay and nonlinear items. Using discontinuous...

this study aims to better understand the effect of practice schedule and feedback providing types. in two separate experiments the contextual interference effect in bandwidth and self-control feedback conditions on relative and absolute timing learning was examined. in experiment i, the effect of contextual interference using bandwidth and self-control feedback on absolute timing learning (para...

This poster describes a visualisation technique for communicating the effects of implicit feedback decisions using a familiar interface component, the scrollbar. The results of a pilot evaluation show the technique is unobtrusive and encourages focused interaction.

This paper explores the role that feedback based on past actions and motivational states of the learner can have in a motivationally and metacognitively aware Intelligent Tutoring System (ITS) focused on programming.

In this year’s Enterprise track experiment, we focused on testing Blind Relevance Feedback, especially using online Wikipedia as query expansion collection. We demonstrated that using Wikipedia as query expansion collection returns better infNDCG than not using it.