Book ChapterDOI
Iot based inventory management system with recipe recommendation using collaborative filtering
Atharva S. Devasthali,Adinath J. Chaudhari,Someshkumar S. Bhutada,Snehal R. Doshi,Vaishali P. Suryawanshi +4 more
- Vol. 53, pp 543-550
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TLDR
In this article, a recipe scoring algorithm that follows a collaborative filtering approach is proposed to score the recipes and the recipes that yield a higher score will be recommended to the user using the available inventory.Abstract:
The internet is a huge pool of data. It consists of various websites that provide numerous recipes and it becomes difficult for a person to manually search for a recipe based on the available ingredients daily. Inventory management is a difficult task because it is not feasible to keep track of every food ingredient. The objective of this paper is to provide an effective solution to manage inventory of the user using the Internet of Things (IoT) as well as recommending a recipe to the user using the available inventory. A recipe scoring algorithm that follows a collaborative filtering approach is proposed to score the recipes and the recipes that yield a higher score will be recommended to the user. This reduces the time and efforts of the user which makes the system more efficient and user-centric.read more
References
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Journal ArticleDOI
Web scraping technologies in an API world
Daniel Glez-Peña,Anália Lourenço,Hugo López-Fernández,Miguel Reboiro-Jato,Florentino Fdez-Riverola +4 more
TL;DR: This article reviews existing scraping frameworks and tools, identifying their strengths and limitations in terms of extraction capabilities and describing the operation of WhichGenes and PathJam, two bioinformatics meta-servers that use scraping as means to cope with gene set enrichment analysis.
Collaborative Filtering Based Recommendation System: A survey
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Recipe Recommendation Method by Considering the User's Preference and Ingredient Quantity of Target Recipe
TL;DR: In order to reflect the truly user's preferences, this work proposes a scoring method of cooking recipes based on user's food preferences and the quantity of the ingredient in a recipe.
Book ChapterDOI
Machine Learning Based Food Recipe Recommendation System
M. B. Vivek,N. Manju,M. B. Vijay +2 more
TL;DR: Two approaches to recommend recipes based on preferences of the user given in the form of ratings are presented and compared to identify which approach suits the dataset better.
Proceedings ArticleDOI
IoT based grocery monitoring system
TL;DR: Using this prototype as a base, real-time applications can be developed to manage the current inventory efficiently with its implications in food and e-commerce industry.