Of recommendation engines, loops and tax return automation
Our fortnightly selection of must-reads from the community, for the community
Recommendation engines utilize algorithms to analyze user data and preferences, generating personalized suggestions. These engines often employ loops to iterate through vast datasets efficiently. Similarly, tax return automation utilizes data wrangling, parsing and loops to streamline the process of identifying deductions and credits, ultimately enhancing accuracy and efficiency. In either case, the utilization of loops and algorithms optimizes decision-making and task automation, improving user experience and reducing manual effort.
The articles that we selected for this edition of the Workflow focus on KNIME looping, recommendation systems and automation capabilities. From a compelling story to design an e-commerce website and embed a recommendation system to a great tutorial on the smart usage of paths and loops, don’t miss out on these engaging data stories. The last story shows how to navigate the Italian e-invoice system and automate tax return operations. Happy reading!
Product recommendation for Huimitu e-commerce using Association Rule with KNIME
How to design a bakery e-commerce website that effectively recommends products to customers? In this end-to-end solution for a university project, Phúc Đỗ Vương et al. develop Huimitu, a bakery ecommerce website, that leverages KNIME and its Association Rule Learner node to identity patterns in customer habits and craft ad-hoc suggestions based on previous purchases. The authors access and aggregate data in the database, model customer purchases to obtain a list of recommended items, load results back in the database, and automate the execution of the workflow at regular intervals. A fully low-code solution for product recommendation with just a bunch of nodes!
KNIME, Paths and Loops — Automate Everything
Loops are fundamental operations in programming, as they enable the repetition of a code block until a specified condition is fulfilled. Because of that, they prove indispensable for automating repetitive tasks. In this article, Markus Lauber shows how to skillfully use KNIME loops to automate many data operations and streamline tasks. From the essential Table Row to Variable Loop Start node to the smart creation of paths and flow variables, you’ll surely learn one thing or two — Check it out!
Summer Sun and Tax Runs: Navigating Italian Invoices with KNIME
Annual tax returns summarize income, expenses, and deductions for tax reporting purposes, vital for legal and financial clarity. Manual tax return filing can be burdensome, requiring meticulous gathering of documents, complex calculations, and form filling. It consumes time and can lead to errors, causing stress and potential penalties. Automating the process can alleviate this burden, ensuring accuracy, saving time and reducing errors. In this article, Ludovico Ruggeri Laderchi shows how to navigate the Italian e-invoice system to automate the process of accessing, parsing, transforming and visualizing invoices using KNIME. Check it out!
We love learning new creative solutions using KNIME from the articles that we publish, and we love to share them with you. We are proud of building together a thriving community that supports each other, shares experiences, and shapes the future of low code data science.
See you in the next Workflow,
The Editors of Low Code for Data Science
PS: 📅 #HELPLINE. Want to discuss your article? Need help structuring your story? Make a date with the editors via Calendly (every second Thursday).
