Query Expansion Model Based on Semi-Supervised Learning
Su Jun · Computer Systems and Applications · 2012
Query expansion is a optimization method for word mismatch issues in information retrieval domain.By analyzing the shortcomings of existing methods,query expansion model based on semi-supervised learning is proposed,the model seems query expansion as a classification problem,and using transductvie support vector machine to train the samples.Experiments show that the recall and precision rates of search engine are further improved by this method.