| Popis: |
The objective of the work is to provide a recommender system through optimization. The users place orders to suppliers through email, requesting preferences based on cost and delivery date. Optimization algorithms are formulated to provide an optimal mix of the products to the users based on the cost and speed of delivery. The algorithm takes the availability and cost of the products with the suppliers. The recommendation system takes into consideration the various parameters such as preferences of other users, ratings for the products, etc., and arrives at the list of products that are to be recommended. An email is sent to inform the user or supplier about the action to be taken, and this process is also a secure one. The highlight of this work is the option of dynamic data in CSV format, which is retrieved from Google Mail every time and parsed before optimization. The entire process is automated; it needs no user interference. The program is also adaptive irrespective of the presence of the file or folder, or the directory from which the executable is run; all or most of the scenarios have been accounted for. The proposal is tested and found to work well. |
