• Nikita Khandekar
• Siddhi Deshpande
• Rajani Karbhari
• Sharayu Suryawanshi

Recommender systems are meant for recommending products to customers according to their interests. Recommender system has several features namely, data collection and processing, recommender model, recommendation post processing and user interface etc. in order to recommend proper products to given user. The paper proposes a recommender system that will recommend the products that are relevant to user's interests in different domains. User interests are extracted with the help of his/her activities i.e based on the terms they are searching . Moreover ,the price comparison module in the system enables to compare the price of same product from two different sites. So, instead of navigating from one website to another ,same product with their respective prices is presented on a single web-based platform which will reduce navigation and hence the user is able to compare same product on single platform before purchasing it. The web-crawler will show the user most viewed sites or any articles related to the posted keyword/post. The user can also add the product to the cart and even place the order for that particular product for purchasing.

"Commendation System based on Price Evaluation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.654-658, May-2019, Available :http://www.jetir.org/papers/JETIR1905C93.pdf

"Commendation System based on Price Evaluation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp654-658, May-2019, Available at : http://www.jetir.org/papers/JETIR1905C93.pdf