Feb 22, 2017 · An overview of recent, existing research in context modeling for different application domains, including the pros and cons of the context ...
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Using a Rich Context Model for Real-Time Big Data Analytics in Twitter
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The combination of a Rich Context Model (RCM) with machine learning is used in order to improve the quality of the data mining techniques. We propose the ...
Abstract. Recommender systems have become an important application domain related to the development of personalized mobile services. Thus,.
In this paper we present an approach for People-to-People recommendations based on a Rich Context Model (RCM). We consider personal user information as ...
Feb 22, 2017 · The proposed rich context model allows not only providing relevant news with respect to the user's current context but, at the same time, also ...
The proposal of a rich context model (RCM) is presented as general approach for context modeling to explore the context of the users in different ...
Dave Golland, John DeNero, and Jakob Uszkoreit. 2012. A Feature-Rich Constituent Context Model for Grammar Induction. In Proceedings of the 50th Annual Meeting ...
This paper presents a rich context model to provide the relevant content of news to the current context of mobile users. The proposed rich context model ...
Apr 26, 2021 · This study uses different machine learning models and a rich context model to analyze quizzing and reading records from e-learning platform called Hypocampus.
A 'Rich Context' competition run by the Coleridge Initiative brought computer scientists from around the globe together to develop models that would identify ...
