Efficient Method for Edit Recommendation using Hybrid History Mining and Relevance Feedback

Now a day's to speed up the software development process, use of recommendation systems plays important role while developing software by software developers. This paper presents EMI (Extended MI) technique which generates history-based recommendation systems following two approaches, one is by mining view histories and another by mining edit histories. Moreover it uses relevance feedback method to improve the accuracy of recommendation.