A Theoretical Approach to Link Mining for personalization
An emerging challenge for data mining is the problem of mining richly structured datasets, where the objects are linked in some way. Many real-world datasets describe a variety of object types linked via multiple types of relations. These links provide additional context that can be helpful for many data mining tasks. Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models. Recently there has been a surge of interest in this area, fuelled largely by interest in web and hypertext mining in personalization.
Keywords: Link mining, Clustering, categorizer, Indexer, Personalization
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