Open raygbdias opened 10 months ago
GuilhermeFrSaito
commented
10 months ago @raygbdias Is this issue related to #5 ? Is the recommendation algorithm related to all kinds of questions, the ones that have YES/NO answers AND the ones that have 1-5 answers, OR just one of them and which ones?
raygbdias
commented
10 months ago I believe that creating an algorithm that can accommodate all kinds of questions will be better, and if we can keep as generic as possible is even better so we can use for other projects as well
Is your feature request related to a problem? Please describe. Currently, our application lacks a personalized approach to recommending wines to customers. Users answer questions, but there isn’t an effective system in place to analyze these responses and suggest wines that align with their tastes and preferences. This gap results in a less personalized user experience and potentially missed opportunities for customer satisfaction and engagement.
Describe the solution you'd like The proposed solution is to create an algorithm that processes user responses to specific questions and recommends wines that best match their preferences. This algorithm should consider various factors derived from user responses, such as flavor preferences, desired occasions, price range, and any specific likes or dislikes. The algorithm must be dynamic, adapting to the uniqueness of each user's profile and preferences.
Describe alternatives you've considered An alternative could be to use a simpler, rule-based system for recommendations, but this might not offer the level of personalization we desire. Another option could be to integrate a third-party recommendation engine, but this might limit our control over the recommendation criteria and the data used.
Additional context The development of this recommendation algorithm is crucial for enhancing user engagement and satisfaction. It should be tested thoroughly to ensure accuracy and relevance in its suggestions. The team should also consider the ethical implications of data usage and ensure user data is handled responsibly and securely. It’s important to regularly update and refine the algorithm based on user feedback and changing preferences. The algorithm's integration with the existing system and its impact on performance should also be carefully evaluated. A well-documented approach explaining the logic and factors considered in the algorithm would be beneficial for future reference and modifications.