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Recently, with the advent of location-based social networking services (LBSNs), travel planning and location-aware information recommendation based on LBSNs have attracted much research attention. In this paper, we study the impact of social relations hidden in LBSNs, i.e., The social influence of friends. We propose a new social influence-based user recommender framework (SIR) to discover the potential...
We propose a novel problem to simplify weighted graphs by pruning least important edges from them. Simplified graphs can be used to improve visualization of a network, to extract its main structure, or as a pre-processing step for other data mining algorithms. We define a graph connectivity function based on the best paths between all pairs of nodes. Given the number of edges to be pruned, the problem...
This paper compares the sensitivity of aggregate operational Value-at-Risk in the Pareto distribution with that in the Weibull distribution to select an optimal model from the loss severity distributions of approximate goodness-of-fit. After the aggregate operational Value-at-Risk is obtained, the sensitivities of aggregate operational Value-at-Risk are compared when the loss severity distribution...
HITS algorithm is a famous topic distillation algorithm, but it has a drawback of topic drift. To tackle this problem, a new improved HITS algorithm is proposed by assigning appropriate weights to links according to the link value and topic similarity. Based on an analysis of web link structure, link value is calculated by web page authority degree; topic similarity of web pages is calculated by combining...
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