Unclear ratings negatively affect the recommendation performance.
In the KNN method, the value of K is most influential to the recommendation performance.
To improve the recommendation performance, we propose a novel context-aware recommendation algorithm with two-level SVD, named CTLSVD.
Experiments on real world data show all the information used can help improve the recommendation performance, and our final method outperforms several baseline methods.
Chen et al. [2] proposed to learn user preferences from tweet content, user social relations, and other explicit features like publisher authority based on collaborative ranking, in order to improve the personalized recommendation performance.
Experimental results on two public data sets show that ABPR is able to leverage uncertain examination records effectively, and can achieve better recommendation performance than the state-of-the-art algorithm on various ranking-oriented evaluation metrics.
In this paper, we explore how to combine MD and HC processes to get better recommendation performance and propose a new algorithm mimicking the hybrid of MD and HC processes, named balanced diffusion (BD) algorithm.
2) Did the proposed weighting operation improve the diagnostic performance of the system? 3) Did the CBR CDSS more aptly diagnosis PM and PTTH compared to the guideline-based CDSS? 1. Experiment 1: the variation in performance as the value of K varies In the KNN method, the value of K is most influential to the recommendation performance.
Mix design recommendations for performance and cost effective ultra-high performance concretes are made and conclusions for further enhancements are drawn.
General recommendations Technology performance The data provide a picture of whole house performance summarised into electrical, water and gas usage as well as the resultant carbon footprint, compared with house performance before the retrofit.
"The minister will continue to recommend the reappointment of members…after taking note of the IRB Chairperson's recommendations concerning performance and operational needs".
