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With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding(More)
Services offered and provided through the Web have varying quality, and it is often difficult to assess the quality of a services before accessing and using it. Trust and reputation systems can be used in order to assist users in predicting and selecting the best quality services. This paper describes how Bayesian reputation systems can be combined with(More)
Due to the explosive growth of the Web, the domain of Web personalization has gained great momentum both in the research and commercial areas. One of the most popular web personalization systems is recommender systems. In recommender systems choosing user information that can be used to profile users is very crucial for user profiling. In Web 2.0, one(More)
(2010) Developing trust networks based on user tagging information for recommendation making. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract. Recommender systems are one of the(More)
An ontology-based method for sparsity problem in tag recommendation. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract: Tags or personal metadata for annotating web resources have been(More)
Rummble Ltd (www.rummble.com) is an online mobile local content provider that gives users access to trusted spatially-located content via the web and mobile. Rummble brands itself as a " Personalised travel guide written by your friends ". Users sign up and build a social network. They upload reviews of places they have visited and provide ratings for them.(More)
Human pattern recognition skills are remarkable and in many situations far exceed the ability of automated mining algorithms. By building domain-speciic interfaces that present information visually, we can combine human detection with machines far greater computational capacity. We illustrate our ideas by describing a suite of visual interfaces we built for(More)
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