I will build ai recommender systems for your business

To build a recommendation engine, I typically require user data (such as preferences, ratings, or interactions) and item data (like features or categories). If you don't have this data yet, I can help you with data collection and preprocessing.

I specialize in building various recommendation models, including: Collaborative Filtering (user-based/item-based) Content-Based Filtering Hybrid Models Matrix Factorization Deep Learning-Based Models I can tailor the model to fit your needs and business goals.

The delivery time depends on the model’s complexity. Basic models take 3-4 days, while hybrid systems may require 7-10 days. If you need the work faster, you can opt for extra fast delivery to get the project delivered in less time for an additional fee.

Yes, I offer cloud deployment and API integration as extras. I can help deploy the recommendation engine on scalable cloud platforms like AWS or Google Cloud and integrate it into your platform to ensure smooth, seamless operation and scalability for your business.

Yes, I provide the source code and detailed model documentation with each package. The code is well-organized and easy to understand, and I ensure it’s documented for future updates. You’ll have everything you need to make further improvements if required.

Yes, I can improve the accuracy of your existing recommendation system. I’ll perform performance tuning, optimize features, fine-tune hyperparameters, and leverage advanced techniques like deep learning or hybrid models to boost performance and accuracy.

Each package includes a set number of revisions (1 for Basic, 2 for Standard, and 3 for Premium). If needed, additional revisions can be purchased as extras to ensure the final model meets your exact requirements, allowing for fine-tuning until you’re satisfied.