The main goal of this paper is to propose a Bayesian based methodology for implementing robot informed search for objects. The methodology uses convolutions between observation likelihoods of secondary objects and spatial ...

Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the sub- ject of the information needs, contributing ...

With the aim of analyzing the information search behavior of investors working in the stock market, this research sought to raise the aspects related to this behavior with focus on the cognitive and causal aspects which ...

In this paper we trace the evolution of economic search theory and the concomitant accumulation of insights so as to elucidate is successes as well as its central location within the economics of information. The reason ...

The ontologies are being used to implement new features and improvements in information search and retrieval systems, especially in web context. This article aims to present an overview of ontologies in information retrieval ...

The ontologies are being used to implement new features and improvements in information search and retrieval systems, especially in web context. This article aims to present an overview of ontologies in information retrieval ...

BackgroundA high-quality electronic search is essential in ensuring accuracy and completeness in retrieved records for the conducting of a systematic review.ObjectiveWe analysed the available sample of search strategies ...

An implicit tenet of modern search heuristics is that there is a mutually exclusive balance between two desirable goals: search diversity (or distribution), i.e., search through a maximum number of distinct areas, and, ...

We analyze the impact on consumer prices of the size and bias of price comparison search engines. In the context of a model related to Burdett and Judd (1983) and Varian (1980), we develop and test experimentally several ...