Consumers frequently rely on user-generated product reviews to guide purchasing decisions. Given the ever increasing volume of such reviews and variations in review
quality, consumers require assistance to effectively ...
Classic computing systems are characterised by heterogeneity, with its inherent advantages and disadvantages. This
raises a number of difficulties for software engineers. The vision offered by a mix-and-match approach is ...
Sensing, monitoring and actuating systems are expected to play a key role in reducing buildings overall energy consumption. Leveraging sensor systems to support energy efficiency in buildings poses novel research challenges ...
In this paper we focus on an approach to social search, HeyStaks that is designed to integrate with mainstream search engines such as Google, Yahoo and Bing. HeyStaks is motivated by the idea that Web search is an inherently ...
While search engines are the primary means by which information is located online, significant issues remain when trying to satisfy the needs of searchers, especially in the face of the type of vague queries
that dominate ...
For the main part, when it comes to questions of retrieval, the focus of CBR research has been on the retrieval of cases from a repository of experience knowledge or case base. In this paper we consider a complementary ...
In this paper we focus on a multi-case case-based reasoning system to support users during collaborative search tasks. In particular we describe how repositories of search experiences/knowledge can be recommended to users ...
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services
and we believe these types of service provide ...
Recently researchers have argued that the prevailing view of web search, as a solitary activity, is flawed: that, in reality, web search is often an inherently collaborative task. In this paper we describe and evaluate an ...
This paper discusses the theory and algorithmic design of the CADD (clustering algorithm based on object density and direction) algorithm. This algorithm seeks to harness the respective advantages of the k-means and DENCLUE ...
Conventional high street retailers face a multitude of challenges if they are to survive and thrive. Some of these difficulties arise from structural and economic issues; others may be sociological and demographic. However, ...
This paper reports on an investigation into the scholarly impact of the TRECVid (TREC Video Retrieval Evaluation) benchmarking conferences between 2003 and 2009. The contribution of TRECVid to research in video retrieval ...
The maturity of pervasive computing and Wireless Sensor Networks (WSNs) enables the development of smart environments in many scenarios, including surveillance and environmental monitoring. Extensive research efforts are ...
Ubiquitous sensing fuses the concepts of intelligent systems with ubiquitous computing in the development of novel sensor web applications, whereby the interaction of multiple disparate autonomous artefacts is a key ...
Within this paper, Sensorworld is proposed as a platform for the evaluation and comparison of resource-bounded intelligence, and its effectiveness is proven through the implementation of a series of simulations on ...
Modularising requirements is a classic problem of software engineering; concerns often overlap, requiring multiple dimensions of decomposition to achieve separation. Whenever complete modularity is unachievable, it is ...
Service provision for mobile users poses several challenges for those managing enterprise information systems. Some of these are ubiquitous, for example, privacy and security. Others give rise to integration and interoperability ...
Gestural interfaces are now a familiar mode of user interaction and gestural input is an important part of the way that users can interact with such interfaces. However, entering gestures accurately and efficiently can be ...