A personal interface, right from the beginning

  • Each user can get personalized offers without much historical data, avoiding the cold start problem
  • This happens thanks to our studies on social signal processing, which guesses as soon as possible a specific user profile for the user at hand
  • This pays in term of engagement, user loyalty, revenues

Multi-medial and cross-medial

  • Finding the most suitable products is not a prerogative of e-commerce: it applies to retail, e-learning, business matching
  • HS.Recommend also analyzes the multimedia features that characterize your products: textual descriptions, images, videos
  • It allows you to leverage suggestions in targeted marketing and email campaigns
  • No tricky pre-sets and parameters: HS.Recommend ask you few, simple questions to ensure a proper functioning