The right combination of models and algorithms customized for your company is the key to a successful recommender system that meets and exceeds your expectations. commendo is highly experienced in developing and implementing customer-specific recommender models and systems. Working in close cooperation with your development department, we apply our extensive knowledge of personalized recommendation technology to create the recommender system that is best suited to your requirements. Our comprehensive repertoire of mathematical and statistical models, which proved their merit in the Netflix Prize, allows us to develop the system that is right for you. How long i ttakes to implement a recommendatin system depends on the amount of available information and which algorithms are used.
We look forward to using our industry know-how proven capabilities to help you realize an individual recommendation system!