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Improving Ontology-Based User Profiles

Improving Ontology-Based User Profiles,Joana Trajkova,Susan Gauch

Improving Ontology-Based User Profiles   (Citations: 66)
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Personalized Web browsing and search hope to provide Web information that matches a user's personal interests and thus provide more effective and efficient information access. A key feature in developing successful personalized Web applications is to build user profiles that accurately represent a user's interests. The main goal of this research is to investigate techniques that implicitly build ontology-based user profiles. We build the profiles without user interaction, automatically monitoring the user's browsing habits. After building the initial profile from visited Web pages, we investigate techniques to improve the accuracy of the user profile. In particular, we focus on how quickly we can achieve profile stability, how to identify the most important concepts, the effect of depth in the concept-hierarchy on the importance of a concept, and how many levels from the hierarchy should be used to represent the user. Our major findings are that ranking the concepts in the profiles by number of documents assigned to them rather than by accumulated weights provides better profile accuracy. We are also able to identify stable concepts in the profile, thus allowing us to detect long-term user interests. We found that the accuracy of concept detection decreases as we descend them in the concept hierarchy, however this loss of accuracy must be balanced against the detailed view of the user available only through the inclusion of lower-level concepts.
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    • ...User profiles were used in web information gathering to interpret the semantic meanings of queries and capture user information needs [12], [14], [23], [41], [48]...
    • ...They also categorized user profiles into two diagrams: the data diagram user profiles acquired by analyzing a database or a set of transactions [12], [23], [25], [35], [37]; the information diagram user profiles acquired by using manual techniques, such as questionnaires and interviews [25], [41] or automatic techniques, such as information retrieval and machine learning [30]...
    • ...They acquire user profiles by observing user activity and behavior and discovering user background knowledge [41]...

    Xiaohui Taoet al. A Personalized Ontology Model for Web Information Gathering

    • ...However, one of the main challenges in current personalization systems is that they rely mostly on static or low-level dynamic user profiles [7, 8] which constrain the personalization process because they uses the same user information over time, often leading to recommendations of irrelevant services as the user’s needs and interests change...
    • ...Trajkova and Gauch [8] and Zhang et. al [9] for example, introduce a general mechanism for modelling user profiles by tracking implicit user visited web pages...
    • ...A reference ontology provides a clear illustration of contents of a particular domain of application [8]...

    Ahmad Hawalahet al. A Multi-agent System Using Ontological User Profiles for Dynamic User ...

    • ...Reference ontology: Many studies have utilized ontology to shown more effective personalization systems [5, 15, 10]...
    • ...A reference ontology provides a clear illustration of contents of a particular domain of application [15]...

    Ahmad Hawalahet al. A hybrid re-ranking algorithm based on ontological user profiles

    • ...Using an ontology to model information related to the user personal domain has already been proposed for various applications like web search (Crestani, 1997a; Crestani, 1997b; Gauch, Chaffee, & Pretschner, 2003; Trajkova & Gauch 2004)...
    • ...In order to create a simple yet comprehensive set of upper level concepts for the personal ontology, profile information models maintained by various applications, like instant messengers (ICQ, 2008) and community websites (Facebook, 2008; MySpace, 2008), and proposed by researchers, like (Tazari, Grimm, & Finke, 2003; Kobsa, 1993; Trajkova & Gauch, 2004; Gauch, Chaffee, & Pretschner, 2003; Gruber, 1993a) were examined and ...

    Akrivi Katiforiet al. Ontologies and the brain: Using spreading activation through ontologie...

    • ...–I n [110], the user profile is a set of weighted concepts issued from a reference ontology...

    Lynda Tamine-Lechaniet al. Evaluation of contextual information retrieval effectiveness: overview...

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