International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 02 | Feb -2017
www.irjet.net
e-ISSN: 2395 -0056 p-ISSN: 2395-0072
Recipe Companion: Posting And Sharing Using Recipes Recommendation System Karan Choudhari1, Shreetan Naik2, Mayur Bhavsar3, Snehal Ahire4 Dept. of Computer Engineering, G.E.S R.H. Sapat College of Engineering, Nashik, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In the whole world, the major attraction point of
people is food. People like to cook food of different national cuisines, ethnic cuisines etc. They are eager to taste and to know which authentic ingredients are used to make the same. Many of them opt to know the procedure of making those recipes. Most of the times people don’t get proper details of recipes and could not try making them. In the proposed system, people will have detailed information of variety of recipes at a go! The application allows users to post recipes for various dishes with details including from ingredients to make time. Every user can search for recipes, save recipes as favourite, share recipe with friends on social media. By combining the title search and category-wise filtering, the application makes finding recipes easy. Recipes being added daily, people will always have something new to crave. Users will be suggested to checkout new recipes which he may wish to make using recommendation system. The application also provides a feedback and ratings from users for recipes so that others could know to which extent that recipe has been liked. This application is time saver and handy to provide recipes within few clicks. Key Words: Recommendation Application, Web Services, etc
System,
Mobile
1.INTRODUCTION Proposed application is a very useful mobile android app for people who love to cook and try out new recipes. It will provides user flexibility to post, search, share recipes through client-server interaction with an additional capability to update and delete personal recipes. Our application makes finding recipes easy. Recipes are from authorized users who post their own recipes. Web Services are used for searching recipes from cloud. Recipes ranges from the decadent to the simple for whatever mood user are in. Recipes are being daily added by the users to the app which grows the database and there will always be something new for other user to try. Users are allowed to give the ratings to the recipes according to their liking. The application recommends the user for highly rated recipes to try. The application provides capability to user to search top rated, trending recipes of different regions. Recipes are displayed with recipe image, title, ratings and cooking directions. Category based and sub-category based search is Š 2017, IRJET
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Impact Factor value: 5.181
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also provided to user. User is provided with the facility to post video of recipe for guidance to others. This application is a time saver providing recipes in few clicks. The user is given choice to add a recipe to his favourites, remove them from favourites. The interface is made handy to use. The user can search recipes, view added favorite recipe list and all from home screen.
2. LITERATURE SURVEY 2.1 Content-Based Filtering Algorithm for Mobile Recipe Application In general people wish to cook food but however they need a plan on what to cook and way to cook. Furthermore, they additionally would like to grasp and try the recipes that suit to their preference. There are a lot of cooking recipes site which provide recipes to the user but fail to provide the recipes in which user seems to be more interested. Current recipe suggestions developed by some researchers are mainly based on the collective interests, demographic information, and ingredients content. The main objective of this proposed application is to suggest a user preferred recipe using content-based filtering algorithm. Contentbased filtering algorithm will be applied to identify the recipes that have high rating. This algorithm will be able to recommend recipes based on user ratings given to the recipe. 2.2 Adding Weights to User Rating in Recommendation Systems Recommendation systems are the information filtering system that try to predict the preference that users would give to an item. To predict the preferences, these systems use details of users profile, their opinions and their habits and compare the information to reference characteristics to present the recommendations. Recommender systems are used in a variety of applications and got popular in extremely short time as they provide a decision making power to the administration. There are many recommendation systems developed and used in applications like music, books, news, movies, navigation recommendation.
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