Vol.53 (AITS 2014), pp.424-428
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چکیده
The paper introduces the concept of a layered recommendation system (LRS) based on multi-dimensional feature vectors to implement personalized course generation model and algorithms. In this work, we present a personalized course generation algorithm based on the multi-dimensional feature vectors (PCG-LRS) and hybrid applications by content-based recommendations and collaborative filtering recommendation algorithm to generate personalized curriculums
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[1] J. P. M. Schalkwijk, “The binary multiplying channel—A coding scheme that operates beyond Shannon’s inner bound region,” IEEE Trans. Inf. Theory, vol. 28, pp. 107–110, January 1982. [2] J. P. M. Schalkwijk, “On an extension of an achievable rate region for the binary multiplying channel,” IEEE Trans. Inf. Theory, vol. 29, pp. 445–448, May 1983. [3] Z. Zhang, T. Berger, and J. P. M. Schalkwi...
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تاریخ انتشار 2014