Now showing 1 - 10 of 10
  • Publication
    Personalized retrieval in social bookmarking
    (Association for Computing Machinery, 2009) ; ;
    Users of social bookmarking systems take advantage of pivot browsing, an interaction technique allowing them to easily refine lists of bookmarks through the selection of filter terms. However, social bookmarking systems use onesizefitsall ranking metrics to order refined lists. These generic rankings ignore past user interactions that may be useful in determining the relevance of bookmarks. In this work we describe a personalized ordering algorithm that leverages the fact that refinding, rather than discovery (finding a bookmark for the first time), makes up the majority of bookmark accesses. The algorithm examines useraccess histories and promotes bookmarks that a user has previously visited. We investigate the potential of our algorithm using interaction logs from an enterprise social bookmarking system, the results show that our personalized algorithm would lead to improved bookmark rankings.
    Scopus© Citations 3  1522
  • Publication
    Creating visualizations : a case-based reasoning perspective
    (Springer, 2009-08) ;
    Visualization is among the most powerful of data analysis techniques and is readily available in standalone systems or components of everyday software packages. In recent years much work has been done to design and develop visualization systems with reduced entry and usage barriers in order to make visualization available to the masses. Here we describe a novel application of case-based reasoning techniques to help users visualize complex datasets. We exploit an online visualization service, Many Eyes and explore how case based representation of datasets including simple features such as size and content types can produce recommendations of visualization types to assist novice users in the selection of appropriate visualizations.
    Scopus© Citations 3  796
  • Publication
    A Quantitative Evaluation of the Relative Status of Journal and Conference Publications in Computer Science
    (University College Dublin. School of Computer Science and Informatics, 2008-10) ; ; ;
    While it is universally held by computer scientists that conference publications have a higher status in computer science than in other disciplines there is little quantitative evidence in support of this position. The importance of journal publications in academic promotion makes this a big issue since a focus on journal papers only will miss many significant papers published at conferences in computer science. In this paper we set out to quantify the relative importance of journal and conference papers in computer science. We show that computer science papers in leading conferences match the impact of papers in mid-ranking journals and surpass the impact of papers in journals in the bottom half of the ISI rankings – when impact is measured by citations in Google Scholar. We also show that there is a poor correlation between this measure of impact and conference acceptance rates. This indicates that conference publication is an inefficient market where venues that are equally challenging in terms of rejection rates offer quite different returns in terms of citations.
      56
  • Publication
    An Analysis of Current Trends in CBR Research Using Multi-View Clustering
    (University College Dublin. School of Computer Science and Informatics, 2009-03) ; ; ;
    The European Conference on Case-Based Reasoning (CBR) in 2008 marked 15 years of international and European CBR conferences where almost seven hundred research papers were published. In this report we review the research themes covered in these papers and identify the topics that are active at the moment. The main mechanism for this analysis is a clustering of the research papers based on both co-citation links and text similarity. It is interesting to note that the core set of papers has attracted citations from almost three thousand papers outside the conference collection so it is clear that the CBR conferences are a sub-part of a much larger whole. It is remarkable that the research themes revealed by this analysis do not map directly to the sub-topics of CBR that might appear in a textbook. Instead they reflect the applications-oriented focus of CBR research, and cover the promising application areas and research challenges that are faced.
      114
  • Publication
    Visualization for the masses : learning from the experts
    (Springer, 2010-07) ;
    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 the next generation of information tools will provide users with a greater ability to analyse and make sense of large amounts of raw data. Visualization technologies are set to play an important role in this regard. However, the current generation of visualization tools are simply too complex for the typical user. In this paper we describe a novel application of case-based reasoning techniques to help users visualize complex datasets. We exploit an online visualization service, ManyEyes, and explore how case-based representation of datasets including simple features such as size and content types can produce recommendations to assist novice users in the selection of appropriate visualization types.
    Scopus© Citations 2  565
  • Publication
    An analysis of research themes in the CBR conference literature
    After fifteen years of CBR conferences, this paper sets out to examine the themes that have evolved in CBR research as revealed by the implicit and explicit relationships between the conference papers. We have examined a number of metrics for demonstrating connections between papers and between authors and have found that a clustering based on co-citation of papers appears to produce the most meaningful organisation. We have employed an Ensemble Non-negative Matrix Factorisation (NMF) approach that produces a “soft” hierarchical clustering, where papers can belong to more than one cluster. This is useful as papers can naturally relate to more than one research area. We have produced timelines for each of these clusters that highlight influential papers and illustrate the life-cycle of research themes over the last fifteen years. The insights afforded by this analysis are presented in detail. In addition to the analysis of the sub-structure of CBR research, this paper also presents some global statistics on the CBR conference literature.
    Scopus© Citations 23  1282
  • Publication
    A quantitative evaluation of the relative status of journal and conference publications in computer science
    While it is universally held by computer scientists that conference publications have a higher status in computer science than in other disciplines there is little quantitative evidence in support of this position. The importance of journal publications in academic promotion makes this a big issue since an exclusive focus on journal papers will miss many significant papers published at conferences in computer science. In this paper we set out to quantify the relative importance of journal and conference papers in computer science. We show that computer science papers in leading conferences match the impact of papers in mid-ranking journals and surpass the impact of papers in journals in the bottom half of the ISI rankings - when im- pact is measured by citations in Google Scholar. We also show that there is a poor correlation between this measure of impact and conference acceptance rates. This indicates that conference publication is an inefficient market where venues that are equally challenging in terms of rejection rates offer quite different returns in terms of citations.
      2449Scopus© Citations 111
  • Publication
    Social information access for the rest of us : an exploration of social YouTube
    The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferences and access patterns recent technologies make it possible to model user information needs and adapt services to meet these needs. In previous work we have presented ASSIST, a general-purpose platform which incorporates various types of social support into existing information access systems and reported on our deployment experience in a highly goal driven environment (ACM Digital Library). In this work we present our experiences in applying ASSIST to a domain where goals are less focused and where casual exploration is more dominant; YouTube. We present a general study of YouTube access patterns and detail how the ASSIST architecture affected the access patterns of users in this domain.
    Scopus© Citations 10  1478
  • Publication
    Many cases make light work for visualization in many eyes
    Visualization is among the most powerful of data analysis techniques and is readily available in standalone systems or components of everyday software packages. In recent years much work has been done to design and develop visualization systems with reduced entry and usage barriers in order to make visualization available to the masses. Here we describe a novel application of case-based reasoning techniques to help users visualize complex datasets. We exploit an online visualization service, Many Eyes, and explore how case-based representation of datasets including simple features such as size and content types can produce recommendations of visualization types to assist novice users in the selection of appropriate visualizations.
      427
  • Publication
    Automated murmurs : the social mobile tourist application
    The popularity of mobile devices and their increased computing power has given rise to surge in mobile computing technologies. Users are increasingly turning to mobile devices for information relating to their activities and location while on the move. Independent of this, the world has seen a huge uptake in the social web, which has fueled the production of applications where users are the sole providers of valuable information. In this work we present a mobile platform which leverages the popularity of mobile and social computing to produce a location sensitive messaging system which delivers user generated content to the public in the context of their physical location
      1649Scopus© Citations 8