Robert Wyatt

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  • Robert O Wyatt, Elihu Katz, Joohan Kim, R O Wyatt, E Katz, Kim +3 others
  • 2015
For some theorists, talk about politics is infrequent, difficult, divisive, and, to be efficacious, must proceed according to special rules in protected spaces. We, however, examined ordinary political conversation in common spaces, asking Americans how freely and how often they talked about 9 political and personal topics at home, work, civic(More)
Several semantic based user profile approaches have been introduced in the literature to learn the users' interests for per-sonalized search. However, many of them are ill-suited to cope with a domain of information that evolves and user interests that may change over time. In this paper, we propose a novel dual representation of a user's semantic profile(More)
This paper introduces a multi-model ontology-based framework for semantic search of educational content in E-learning repository of courses, lectures, multimedia resources, etc. This hybrid recommender system is driven by two types of recommendations: content-based (domain ontology model) and rule-based (learner’s interest-based and cluster-based).(More)
In this paper, we describe an integrated and working E-learning search system for retrieving personalized semantically enriched learning resources. Within this context, this work proposes an architecture divided into four layers: (1) Semantic Representation (knowledge representation), (2) Algorithms, which are the core engine of this study, (3)(More)
In this paper, we exploit the synergies between Information Retrieval and E-learning by describing the design of a system that uses "Information Retrieval" in the context of the Web and "E-learning". With the exponential growth of the web, we noticed that the "general-purpose" of web applications started to diminish and more domain-specific or personal(More)