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This paper presents a topic based web news recommendation method combining Affinity Propagation (AP) and Latent Dirichlet Allocation (LDA), which could automatically find the topics exist in the web pages and recommend the topic based news to Internet users. The topic distance is defined using LDA, which is used to generate the topic distance matrix. AP clustering is used to cluster the web page collections...
Topic model is an increasing useful tool to analyze the semantic level meanings and capture the topical features. However, there is few research about the comparative study of the topic models. In this paper, we describe our comparative study of three topic models in the extrinsic application of topic clustering. The topic model distance is defined on the converged parameters of topic models, which...
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