Now showing 1 - 10 of 11
  • Publication
    Lies and propaganda
    ( 2007)
    Mehta, B.
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    Hofmann, T.
    ;
    Fankhauser, P.
  • Publication
    Cross system personalization by factor analysis
    ( 2006)
    Mehta, B.
    ;
    Hofmann, T.
    ;
    Fankhauser, P.
    Today, personalization in information systems occurs separately within each system that one interacts with. However, there are several potential improvements w.r.t. such isolated approaches. Thus, investments of users in personalizing a system, either through explicit provision of information, or through long and regular use are not transferable to other systems. Moreover, users have little or no control over their profile, since it is deeply buried in personalization engines. Cross-system personalization, i.e. personalization that shares personal information across different systems in a user-centric way, overcomes these problems. User profiles, which are originally scattered across multiple systems, are combined to obtain maximum leverage. This paper discusses an approach in support of cross-system personalization, where a large number of users cross from one system to another, carrying their user profiles with them. These sets of corresponding profiles can be used to learn a mapping between the user profiles of the two systems. In this work, we present and evaluate the use of factor analysis for the purpose of computing recommendations for a new user crossing over from one system to another.
  • Publication
    Ontologically-enriched unified user modeling for cross-system personalization
    ( 2005)
    Mehta, B.
    ;
    Niederée, C.
    ;
    Stewart, A.
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    Degemmis, M.
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    Lops, P.
    ;
    Semeraro, G.
    Personalization today has wide spread use on many Web sites. Systems and applications store preferences and information about users in order to provide personalized access. However, these systems store user profiles in proprietary formats. Although some of these systems store similar information about the user., exchange or reuse of information is not possible and information is duplicated. Additionally, since user profiles tend to be deeply buried inside such systems, users have little control over them. This paper proposes the use of a common ontology-based user context model as a basis for the exchange of user profiles between multiple systems and, thus, as a foundation for cross-system personalization.
  • Publication
    Supporting information access in next generation digital library architectures
    ( 2005)
    Frommholz, I.
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    Knezevic, P.
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    Mehta, B.
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    Niederée, C.
    ;
    Risse, T.
    ;
    Thiel, U.
    Current developments on Service-oriented Architectures, Peer-to-Peer and Grid computing promise more open and flexible architectures for digital libraries. They will open the Digital Library (DL) technology to a wider clientele, allow faster adaptability and enable the usage of federative models on content and service provision. These technologies raise new challenges for the realization of DL functionalities, which are rooted in the increased heterogeneity of content, services and metadata, in the higher degree of distribution and dynamics, as well as in the omission of a central control instance. This paper discusses these opportunities and challenges for three central types of DL functionality revolving around information access: metadata management, retrieval functionality, and personalization services.
  • Publication
    The role of context for information mediation
    ( 2005)
    Neuhold, E.
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    Niederee, C.
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    Frommholz, I.
    ;
    Stewart, A.
    ;
    Mehta, B.
  • Publication
    Supporting information access in next generation digital library architectures
    ( 2004)
    Frommholz, I.
    ;
    Knezevic, P.
    ;
    Mehta, B.
    ;
    Niederée, C.
    ;
    Risse, W.
    ;
    Thiel, U.
  • Publication
    Extending your neighborhood-relationship-based recommendations using your personal web context
    ( 2004)
    Stewart, A.
    ;
    Niederée, C.
    ;
    Mehta, B.
    ;
    Hemmje, M.
    ;
    Neuhold, E.
    The people, documents, and other entities from a domain persons know, or are in other ways associated with, influence their decision making and the types of recommendations that serve them best. For example, recommending persons to meet in a conference or a paper to read from a digital library collection does not only depend on the task, interests, and skills of a user, but also on the persons and works they are already familiar with. In order for personalization services to reflect this dependency, extended user models that consider users' network of related domain entities in addition to other user characteristics, are required. Based on a unified context model, we present the Personal Web Context approach that models the typed relationships a user is involved in. Based on a Resource Network which can, for example, be built from the information collection and the associated meta data managed by a digital library, domain-specific rules are used to suggest valuable extensions of this "neighborhood" of a user. Such work can form the basis for new types of digital library services.
  • Publication
    The role of context for information mediation in digital libraries
    ( 2004)
    Neuhold, E.J.
    ;
    Niederée, C.
    ;
    Stewart, A.
    ;
    Frommholz, I.
    ;
    Mehta, B.
    Mediating between available information objects and individual information needs is a central issue within the functionality of a digital library. In the simplest case this is an information request answered by a search engine based on an analysis of information objects within the digital library's information collection. However, neither the information access activity nor the information objects within the collection are isolated entities. They are both equipped with a multifaceted context. The invited talk, which is summarized by this paper, analyzes this context and discusses complementing approaches to make such context explicit and to use it for refining the mediation process within digital libraries.