Pervasive DataRushTM Recommender helps you gain insight into your customers' needs and increases customer retention. E-commerce sites can use Pervasive DataRush Recommender to help customers find products to purchase among an often-overwhelming set of choices. By analyzing aggregate online customer behavior to find trends, Pervasive DataRush Recommender can make product recommendations that increase the likelihood of a purchase.
Collaborative filtering (CF) is a technique used by Pervasive that uses the interests of like individuals to make a recommendation for a given individual. The philosophy of CF is that users will most likely continue to purchase products if like individuals have already chosen similar ones.
DataRush Product Architecture
High Performance Data-intensive Application
Capabilities
- Scalable and efficient implementation of collaborative filtering based on the advanced weighted co-clustering algorithm.
- Groups users who share the same rating patterns to calculate a prediction for a given user.
- Innovative use of customer latent behavior provides powerful insight and enables cross-sell and up-sell opportunities.