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In this paper, the authors propose a unified topic modeling approach and its integration into the random walk framework for academic search. Specifically, the authors present a topic model for simultaneously modeling papers, authors, and publication venues. They combine the proposed topic model into the random walk framework. Experimental results show that their proposed approach for academic search significantly outperforms the baseline methods of using BM25 and language model, and those of using the existing topic models (including pLSI, LDA, and the AT model).
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