Smart e-Commerce Recommendation System Using Data Mining Techniques

In existing e-commerce recommendation system it’s harder for the consumer to find the product they want. Existing recommendation system uses traditional algorithms which Focus only on user ratings data, which affect the quality of system’s recommendation. The improvement consider in this paper mainly refer to limited resource, data valid time, cold start problem and frequent item set which are not well considered in existing e-commerce recommendation system. To solve the above mentioned problem a algorithm based on limited resource and a solution to cold start problem are proposed.