Context-aware recommendation using rough set model and collaborative filtering

摘要: Context has been identified as an important factor in recommender systems. Lots of researches have done for context-aware recommendation. However, current approaches, the weights contextual information are same, which limits accuracy results. This paper aims to propose a system by extracting, measuring and incorporating significant The approach is based on rough set theory collaborative filtering. It involves three-steps process. At first, attributes represent extracted measured identify recommended items theory. Then users' similarity target context consideration. Furthermore filtering adopted recommend appropriate items. evaluation experiments show that proposed helpful improve recommendation quality.