Sentence examples for recommendation model from inspiring English sources
However, only a few prior studies have tried to adopt context-awareness to the recommendation model.
Nevertheless, if the user wishes, any other learning algorithm may be used to induce the recommendation model.
In this paper, by combining collaborative filtering technology and information propagation principle, we proposed ROBIN, a novel recommendation model.
A Big Data environment is essential to perform rating estimation with extensive datasets to establish a high-quality recommendation model.
The results show suitability of using this recommendation model, in order to suggest online learning activities to learners based on their learning style, knowledge and preferences.
In this paper, we adopt a multiobjective recommendation model to simultaneously consider recommendation precision and diversity, specifically, precision, novelty and coverage of recommendation are involved.
The method is inspired by the recent Pairwise Recommendation [9] algorithm, which considers the intrinsic dataset structure through a recommendation simulation model.
Importantly, WISDOM is an adaptive design, allowing us to learn and adjust, continuing to improve the risk-assessment and screening recommendation models over the course of the trial.
Besides yielding recommendation models that are interpretable and robust to overfitting, the developed architecture is less computationally expensive than approaches recently proposed in the literature.
Primary obstacles to this end have been insufficient support of real-time learner data across platforms and a lack of maturity of recommendation models that accommodate the learning context and breadth and complexity of subject matter material in MOOCs.
Although a number of studies have developed recommendation models using collaborative filtering (CF), few of them have tried to adopt both CF and other artificial intelligence techniques, such as genetic algorithm (GA), as a tool to improve recommendation results.
