Fruit Recommender is a simple research program that records users and the fruits they choose during its operation. In its output, a recommendation is made for a user N based on the similarity between N users, exploring the concept of using limits and derivatives for this purpose.
- Go (go1.20.7+)
- C
In different languages, the execution process changes according to the assignments established by their developers. I recommend that you use the following commands below for the language you chose to use:
After cloning the repository and choosing the language, make sure you have correctly installed the necessary components for the compiler or interpreter of the language you are using so that errors do not occur.
To compile and run the same file directly:
go run recommender.goOr if you prefer to compile separately, run it in your terminal:
go build recommender.go
./recommenderPlease note that the C version is a small adaptation of the official code written Go, so if you find bugs, please let me know.
To compile in C, use the command below, as it uses a mathematical library and cannot be executed without arguments via the terminal.
gcc recommender.c -o recommender -lm
./recommenderI chose the topic “The Use of Limits and Derivatives to Improve Recommendation Algorithms on Streaming Platforms” in my academic seminar in the Applied Calculus I discipline, as I wanted to understand in more depth how recommendation algorithms work within the main streaming platforms we use. this daily. It was a rich process, as I was able to understand and work directly with the subject, evolving my mathematical and programming skills as a computer scientist.