In sensorimotor adaptation tasks, feedback delays can cause significant reductions in the rate of learning. This constraint is puzzling given that many skilled behaviors have inherently long delays (e.g., hitting a golf ball). One difference in these task domains is that adaptation is primarily driven by error-based feedback, whereas skilled performance may also rely to a large extent on outcom...

Collaborative Filtering(CF) is a widely accepted method of creating recommender systems. CF is based on the similarities among users or items. Measures of similarity including the Pearson Correlation Coefficient and the Cosine Similarity work quite well for explicit ratings, but do not capture real similarity from the ratings derived from implicit feedback. This paper identifies some problems t...

In this paper we report on the application of two contrasting types of relevance feedback for web retrieval. We compare two systems; one using explicit relevance feedback (where searchers explicitly have to mark documents relevant) and one using implicit relevance feedback (where the system endeavours to estimate relevance by mining the searcher's interaction). The feedback is used to update th...

In recent years, the neural substrates underlying outcome feedback processing have been investigated in several neuroimaging studies of feedback-based learning. However, what has been missed in these studies is that, the learning process itself also affects the way the feedback is being processed. In this study, we tried to investigate the changes in neural substrates underlying positive and ne...

Retrieval and filtering systems may apply relevance feedback to gain information on users’ needs in order to improve their ad-hoc queries or long term profiling. Explicit relevance involves explicit ratings of documents or terms by the users and disrupts their normal patterns of browsing and searching. The alternative non-disruptive method is implicit feedback inferring users’ needs and interes...

Implicit feedback is an approach that utilizes uplink channel state information (CSI) for downlink transmit beamforming on multiple-input multiple-output (MIMO) systems, relying on over-the-air channel reciprocity. The implicit feedback improves throughput efficiency because overhead of CSI feedback for change of over-the-air channel responses is omitted. However, it is necessary for the implic...

 Scenarios: Relates to the process where the user queries his need and related information on the search query is provided to the user based upon his current query term and his profile. Explicit feedback is a scenario where the user provides input of his preferences to the recommender. Implicit feedback is a scenario where the system gathers information about user in an implicit manner through...

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 ...

It has been shown that search personalization can greatly benefit from exploiting user’s short-term context – user’s immediate need and intent. However, this requires that the search engine must be able to divide user’s activity into segments, where each segment captures user’s single goal and focus. Several different approaches to search session segmentation exist, each considering different f...