We consider feedback design for the integration of multi-user MIMO in cellular mobile radio systems. Feedback is given by the mobile terminals, which report beam indices referring to a set of fixed pre-coding beams and corresponding signal to signal to interference and noise ratio (SINR) for different supported spatial transmission modes. The SINR feedback is quantized with a different number o...

The benefits of an organizational memory are ultimately determined by the usefulness of the organizational memory as perceived by its users. Therefore, an improvement of an organizational memory should be measured in the added perceived usefulness. Unfortunately, the perceived usefulness has many impact factors (e.g., the precision of the user query, the urgency with which the user needs inform...

In this paper, we present five user experiments on incorporating behavioral information into the relevance feedback process. In particular, we concentrate on ranking terms for query expansion and selecting new terms to add to the user’s query. Our experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users a...

Factor graph is a representative graphical model to handle uncertainty of random variables. Factor graph has been used in various application domains such as named entity recognition, social network analysis, and credibility evaluation. In this paper, we study the problem of reducing uncertainty in factor graph towards reaching a common truth or deterministic information. We propose a pay-as-yo...

Eliciting user feedback is an integral part of developing management information systems. A field experiment was conducted to study the process of el iciting user feedback during the design of a new financial system. Two variables were investigated--presentation of a system document in "finished" versus "draft" appearance, and use of a structured (questionnaire) versus unstructured mode for obt...

In this work a user centered procedural modeling framework is proposed which combines rule based content generation with the concepts of recommendation systems. Using the ACGAX modeling language, artists are able to write grammar scripts for the creation of diverse and complex 3D scenes, controlled with a simple goal notation. These scripts are evaluated and executed by the system to generate 3...

The task of information filtering is to classify texts from a stream of documents into relevant and irrelevant, respectively, with respect to a particular category or user interest, which may change over time. A filtering system should be able to adapt to such concept changes and to cope the problem of users giving only partial feedback. This paper explores methods to recognize concept changes ...

Many recommender systems might be part of an e-commerce or multi functional system (or portal) where various information about users, products/documents, social networks, and different types of user feedback about products/documents are available. This paper exploits the heterogeneous information a recommender system might collect to make the most appropriate recommendations. We propose a new P...

 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...

In this paper we explore different techniques that allow the user to direct interactive evolutionary search. Broadening interaction beyond simple evaluation increases the amount of feedback and bias a user can apply to the search. Increased feedback will have the effect of directing the algorithm to more fruitful areas of the search space. This paper examines whether additional feedback from th...