Improved Ad Insights through Optimized Restaurant Menu Tagging
In collaboration with a leading meal delivery company, Odetta delivered expert menu data labeling for 100K restaurants. Our client’s advertising teams used this data to properly place ads based on the tagging.
Challenges
Dataset Complexity
Managing a large dataset of restaurant menus presented a substantial challenge due to the diverse nature of the listed items. Careful review and categorization of each menu card demanded precision in data labeling. Each store's menu required tagging with three types of tags: Dish Descriptors (for full menu food items/dishes), Food Tags (based on food type), and Trait Labels (related to the store and food type) to ensure a comprehensive categorization and organization of menu data.
Human Judgment Requirement
The project mandated the application of solid human judgment for categorizing and labeling the data. A team capable of navigating the complexities of menu labeling with attention to detail and contextual understanding was crucial.
Efficient Handling of Tags
The dish tags were further divided into two sub-tags, i.e., universal and variable. This added complexity to the tagging process. Accurate labeling required a keen understanding of categorization, with items falling under specific categories based on their nature.
Solutions
Tool Utilization
Odetta leveraged tools such as Airtable and Google Sheets to streamline the data labeling. Organized spreadsheets facilitated efficient review and categorization of restaurant menus, contributing to a more systematic approach.
Human Judgment Application
Our team applied careful human judgment to ensure accurate and contextually relevant tagging. The thorough review of each menu item allowed for the precise assignment of dish, food, and trait tags, aligning with the company's advertising goals.
Categorization Strategy
Odetta developed a strategy to manage various menu items effectively. First, based on the client's instructions, we applied dish tags and categorized the items into two main categories: Universal and Variable. Then, we applied the food and trait type tags. We used different keywords for accuracy and researched unfamiliar items against our list of tags. This helped us to organize the menus for better advertising strategies.
Results
Odetta's collaboration brought tangible improvements to the efficiency and accuracy of data labeling for the software development company. Using tools like Google Sheets and applying precise human judgment, Odetta navigated the challenges of a diverse restaurant menu dataset. The streamlined categorization approach optimized tagging and provided data for advertising. The outcome was high-quality, precisely labeled data that aligned with the company's goals, contributing to efficient and innovative solutions in the industry.
Why Odetta?
Chosen for our commitment to delivering high-quality work with speed, Odetta's expertise in data labeling and data categorization, efficient processes, and proven track record made us the ideal partner for intricate data labeling and data categorization requirements. The collaboration addressed the challenges of the big dataset and brought in new ideas, all while keeping things user-friendly.