Publication Date

Spring 2015

Document Type

Project Summary

Degree Name

Master of Science

Department

Computer Science

First Advisor

Soon-Ok Park, Ph.D.

Second Advisor

Kong-Cheng Wong, Ph.D.

Third Advisor

(Clare) Xueqing Tang, Ph.D.

Abstract

There is currently a great need for a tool to search cooking recipes based on ingredients, country and recipe type. Current search engines do not provide this feature. Most of the recipe search results in current websites are not efficiently clustered based on relevance or categories resulting in a user getting lost in the huge search results presented. They also do not provide links to view images of the ingredients of a recipe.

My project aims to combine the features like search based on ingredients, suggestions for similar recipes, and images for the ingredients under one search engine and provide an intuitive interface for the same. I explored different clustering algorithms to find an efficient algorithm that can be used to cluster recipe data matching user's queries. As part of this project, I also built FreeText search it help users can search Recipes by ingredients, country and recipe type. I created few charts for users to understand which ingredients are used more in recipes and which country ingredients are more. This website also provides articles to users for making tasty recipes. In this article page users can comment and rate the article. Our website is deployed to Microsoft azure platform.

Comments

Co-authored capstone with authors listed in alphabetical order by OPUS staff.

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