Welcome to TasteBuddies! Check out our problem page for an introduction to our project.
Glossary of Terms
- Crowdsourced Data
- User-generated data on restaurant wait times, dish availability, and quality, among others.
- Curated Reviews
- Reviews presented and weighted based on users with similar Taste Profiles.
- Daily Dish Report
- Provides live updates from TasteBuddies and restaurants such as new reviews, specials, and dishes.
- Data Clustering
- Grouping diners in a group that is more similar to determine taste profiles and recommendations.
- Dining Filters
- Ability to filter restaurants by location, cuisine, occasion, and how busy they are.
- Google API
- An external tool integrated into the app that provides real-time data on how busy a restaurant is.
- Group Dining Algorithm
- Algorithm that combines multiple users' profiles and provides reviews for restaurants and dishes that best match the group preferences.
- Recommendation Algorithm
- Algorithm that provides users with relevant recommendations based on their matched TasteBuddies, taste profile, and interacted content.
- Social Engagement
- Promotes users to interact with one another and be involved within the community.
- Super TasteBuddies
- Taste influencers or food experts that have specialized knowledge and can recommend specific cuisines or dishes.
- Tailored Recommendations
- Personalized recommendations based on a user's taste profile.
- TasteBuddies
- Users with highly similar taste profiles which lead to improved recommendations based on aligned tastes.
- Taste Matching Algorithm
- A key algorithm of the app that pairs users based on similar taste profiles.
- Taste Profiles
- Personalized profiles created by each user based on their taste preferences, such as preferences for spicy, sweet, salty, etc.