Project Details | IActivos

Personalized Recommendation System using Machine Learning

We are a globally leading tech company, working with AI-powered innovative software solutions for businesses and organizations of all sizes. Our mission is to help companies leverage the latest artificial intelligence and related technology to achieve their goals and stay ahead of the competition

1. Data Collection and Preprocessing:

The development team will collect data on user behavior, including user search queries, purchasing history, and browsing behavior. The data will be preprocessed to remove noise and outliers, and transformed into a format that can be used by machine learning algorithms.

2. Feature Engineering:

The platform will be extensively tested and evaluated to ensure that the personalized recommendations are accurate and relevant to the user’s interests.

3. Machine Learning Models:

The team will perform feature engineering to extract relevant features from the data, such as user preferences, item popularity, and item similarity.

4. Testing and Evaluation:

The platform will be extensively tested and evaluated to ensure that the personalized recommendations are accurate and relevant to the user’s interests.

Project Timeline

Data Collection and Preprocessing: 4 weeks

Machine Learning Models: 10 weeks

Feature Engineering: 4 weeks

Integration with the Platform: 4 weeks

Testing and Evaluation: 6 weeks

Deployment and Maintenance: Ongoing

Project Team

Project Manager: Responsible for overseeing the project, managing timelines and resources, and ensuring that the project is completed on time and within budget.

Data Scientist: Responsible for overseeing the project, managing timelines and resources, and ensuring that the project is completed on time and within budget.

Software Developers: Responsible for overseeing the project, managing timelines and resources, and ensuring that the project is completed on time and within budget.