期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：9-1
出版社：Seventh Sense Research Group
摘要：Today heavy explosion of various contents created on the internet, Instruction techniques have become increasingly essential. The different kinds of instruction techniques are made on the online , today we observe these instruction techniques on movies, music, images, books , query resolution, tags idea etc for priority purpose. Different data sources are maintaining different kind of instruction techniques, essentially these data sources can be modelled in the form of graphs for instruction. In this paper we provide general structure on mining online graphs for idea 1) we first propose a novel extension method which propagates similarities between different nodes and generates data. 2) Then we illustrate how to generalize different instruction problems into our graph extension structure. The proposed structure can be used in many instruction tasks on the WWW, including query resolution, tag idea, expert finding, image idea, image annotations, etc. The experimental analysis on large data sets shows the promising future of our work.
