In this paper we describe the results of a four-week diary study of mobile information needs, focusing on the intent behind mobile needs and the importance on context on such
needs. We identified three key intents among ...
Mobile phones are becoming increasingly popular as a means of information access while on-the-go. Mobile users are likely to be interested in locating different types of content. However, the mobile space presents a number ...
Wireless sensing solutions that provide for accurate long term monitoring of walking and running stride characteristics in a real world environment would be an excellent tool for biomechanics researchers. SHIMMER™ is a ...
Tracking sentiment in the popular media has long been of interest to media analysts and pundits. With the availability of news content via online syndicated feeds, it is now possible to automate some aspects of this process. ...
This paper describes an Interactive Evolutionary system for generating pleasing 3D images using a combination of Grammatical Evolution and Jenn3d, a freely available visualiser of Cayley graphs of finite Coxeter groups. ...
User-generated content provides online consumers with a wealth of information. Given the ever-increasing quantity of available content and the lack of quality control applied to this content, there is a clear need to enhance ...
Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extract the semantically relevant interpretations, ...
The social web is a mass of activity, petabytes of data are generated yearly. The social web has proven to be a great resource for new recommender system techniques and ideas. However it would appear that typically these ...
Recommending news stories to users, based on their preferences,has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach
to news recommendation that harnesses real-time ...
Neuromuscular fatigue is believed to be a contributing factor to injury in athletic situations. To examine this idea, it is necessary to establish functional fatigue models that are representative of the type of physical ...
Many recent approaches to modeling social networks have focussed on embedding
the actors in a latent “social space”. Links are more likely for actors that are
close in social space than for actors that are distant in ...
Virtual reality-based computer games may be a
useful way to develop motor skills and increase activity levels in
children. We have developed an interactive computer platform
where users must tilt a wobble board to ...
Many documented instances of existing research on Wireless Sensor Networks (WSN) use deployments that either fall short of, or barely meet, the resource requirements of the application. In this paper, it is envisaged that ...
Collaborative or “Social” filtering has been successfully deployed over the years as a technique for analysing large amounts of user-preference knowledge to predict interesting items for an individual user. The black-box ...
The Mobile Web promises a new age of anytime, anywhere information access to billions of users across the globe. However, the Mobile Internet represents a challenging information access environment, particularly from a ...
Increasingly, in our everyday lives, we rely on our ability to access and understand complex information. Just as the search engine played a key role in helping people access relevant information, there is evidence that ...
Wearable sensor systems require an interactive and communicative interface for the user to interpret data in a meaningful way. The development of adaptive personalization features in a visualization tool for such systems ...
This paper introduces a multidisciplinary research effort to design an interactive, real time system to assist rehabilitation of stroke patients. The proposed system aims to help stroke survivors with limited mobility to ...
Collaborative Web search (CWS) is a community-based approach to Web search that supports the sharing of past result selections among a group of related searchers so as to personalize result-lists to reflect the preferences ...
Collaborative filtering (CF) techniques have proved to be a powerful and popular component of modern recommender systems.
Common approaches such as user-based and item-based methods generate predictions from the past ...