Information retrieval scoring
The implementation based on R language of the evaluation algorithm of information retrieval systems
The evaluation algorithm of information retrieval systems was implemented using R-language.
In particular, the method requires partial scores for the two information retrieval systems based on non-intersecting group requests. The requirement was to receive a summary rating of the quality of all the systems with a minimum of computational and experimental costs to perform additional queries.
The algorithm was tested on open data ('text retrieval conference dataset'). Statistical parameters were calculated comparing the actual ratings of the system with the estimates obtained in the course of the algorithm.
The executed solution as well as its results were comparable to the data published by the author of the method.
Model for restoring blurred and pixelated faces in a photo.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Car rental price simulation and prediction
The goal of the project is to train models for car rental price prediction in Japan based on the prices and demand for car rental from some Japanese car rental companies and the history of weather data in Japan.