Interdisciplinary Collaborative Literature Recommendation Based Topic Modeling
基于主题模型的跨学科协作文献推荐

There exists plenty of all kinds of literature, although the researchers can use some sorts of searching tools for literature retrieval, but how to seek out more efficiently relevant literature becomes more and more difficult. Recently appearing in a series of online community for the researchers is a new solution. A model based on topic model of interdisciplinary literature recommendation was presented, the combination of traditional collaborative filter and probability topic model, and knowledge collaboration network model has been put forward, so it provides a latent semantic structure which can be distinguishable. In terms of different user's appraisal of the given literature index rate, and topic distribution of newly published literature in the foundation, I}his paper used semantic similarity calculation tools, and puts forward the retrieval recommendation for interdisciplinary research based on probability. For this reason,we studied a set of data from the CiteULike,and experimental results show the feasibility and effectiveness of this method.