Ranking component retrieval results by leveraging user history information

In the literature, many research efforts have been put into the improvement of component retrieval in reuse repositories However, when retrieving components from a large reuse repository, it is usually unavoidable for a retriever to browse the retrieved component set to locate the appropriate ones Therefore, the strategy for ranking the retrieved results may be essential for facilitating this task In this paper, we propose a ranking strategy by considering user preference calculated from the user's history information Furthermore, we also demonstrate that our strategy can be easily combined with other strategies To evaluate the effectiveness of our strategy, we performed an experimental study The experimental results demonstrate that our approach is effective and the combination of our strategy and a previous strategy may be more effective than either of the two.EI