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Browsing College of Science by Subject "Recommender systems"
Now showing items 1-9 of 9
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(2011-10-23)Often today’s recommender systems look to past user activity in order to influence future recommendations. In the case of social web search, employing collaborative recommendation techniques allows for personalization of ...
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(National University of Ireland, Galway, 2012-06-21)It is well known that the brain generates electrical patterns of activity in response to visual stimuli such as faces or any- thing that captures attention in a significant way. Signals of this type can be detected using ...
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(Elsevier, 2012-05)Real-time web (RTW) services such as Twitter allow users to express their opinions and interests, often expressed in the form of short text messages providing abbreviated and highly personalized commentary in real-time. ...
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(IEEE, 2011-10-09)To date web search has been a solitary experience for the end-user, despite the fact that recent studies highlight the potential for collaboration that is inherent in many search tasks and scenarios. As a result, researchers ...
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(2011-10-23)The Social Web provides new and exciting sources of information that may be used by recommender systems as a complementary source of recommendation knowledge. For example, User-Generated Content, such as reviews, tags, ...
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(Intelligent Systems Research Centre, 2011-08-31)We are living in an age of information overload, where it can be difficult to define which information is relevant and important to the end user at a point in time. In this paper, we introduce a solution to apportioning ...
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(ACM Special Interest Group on Applied Computing, 2010-03)With the growing availability of geo-referenced information on the Web, the problem of spatial information overload has attracted interest both in the commercial and academic world. In order to tackle this issue, personalisation ...
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(Intelligent Systems Research Centre, 2011-08-31)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 ...
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(Springer, 2009-06)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 ...
Now showing items 1-9 of 9