RSS
- You are here:
- Research Repository UCD
- >
- Institutes and Centres
- >
- CLARITY: Centre for Sensor Web Technologies
- >
- Search
JavaScript is disabled for your browser. Some features of this site may not work without it.
Search
Search Results for Collection: CLARITY: Centre for Sensor Web Technologies
Now showing items 1-10 of 10
-
(Springer, 2011-04-21)This paper examines an application for finding pertinent friends (followees) on Twitter. Whilst Twitter provides a great basis for receiving information, we believe a potential downfall lies in the lack of an effective way ...
-
(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 ...
-
(Intelligent Systems Research Centre, 2011-08-31)Employing collaborative recommendation techniques allows for personalization of search results in social web search. If recommendations arise from past user activity, the expertise of those users driving the recommendation ...
-
(Intelligent Systems Research Centre, 2011-08-31)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 ...
-
(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 ...
-
(ACM, 2011-09)The explosive growth of online social networks in recent times has presented a powerful source of information to be utilised in personalised recommendations. Unsurprisingly there has already been a large body of work ...
-
(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 ...
-
(ACM, 2011-02-16)In this paper we describe the results of a live-user study to demonstrate the benefits of using the social search utility HeyStaks, a novel approach to Web search that combines ideas from personalization and social networking ...
-
(Springer, 2011-07-11)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 ...
-
(Springer, 2011-09-15)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 ...
Now showing items 1-10 of 10