User Profiling for University Recommender System Using Automatic Information Retrieval
نویسندگان
چکیده
منابع مشابه
Information Retrieval and User-Centric Recommender System Evaluation
Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the recommendation algorithm. Recently, however, discrepancies between commonly used metrics (e.g. precision, recall, root-mean-square error) and the experienced quality from the users’ have been brought to light. This project aims to address these discrepancies by attempting to...
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In this paper, we propose a multiagent information retrieval strategy in which, each agent learns from its experience through its interactions with other agents their capabilities and qualifications. Based on a distributed ontology learning framework, our methodology allows an agent to profile other agents in a dynamic translation table and a neighborhood profile, which together help determine ...
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One of the key issues with the overabundance of online information sources is that of finding what is relevant. The key to success for any type of information provider must be the personalisation of content in information retrieval, and this can be achieved through the maintenance of user profiles and the matching of these profiles to content metadata. This paper is concerned with user profilin...
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The use of modern educational technology methods, in order to support learning as well as collaboration, has become an important area of research. Specially with the rise of the internet and web 2.0 platforms that have transformed users’ role from mere content consumers to fully content consumers-producers. Furthermore, people engaged in collaborative learning capitalize on one another’s resour...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.02.002