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At present, using focused crawler becomes a way to seek the needed information. The main characteristic of a focused web crawler is to select and retrieve only relevant web pages in each crawling process. In this paper, we propose a learnable algorithm that combines link analysis with web content in order to retrieve specific web documents, and it can predict the next URL through learning. The algorithm...
Previous research has shown that using term relationships within language model could improve the effectiveness of information retrieval. But all models only consider adjacent relation or distant relation, none of them combine the two types relation. So in this paper, we propose a new dependency language model for improving information retrieval. In our model, phrases and co-occurrence terms are integrated...
Many feature selection methods have been proposed and most of them are in the supervised learning paradigm. Recently unsupervised feature selection has attracted a lot of attention especially in bioinformatics and text mining. So far, supervised feature selection and unsupervised feature selection method are studied and developed separately. A subset selected by a supervised feature selection method...
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