Recommendation engine for Editorial content

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request
Request
Develop a propensity model to populate a “Chosen for You” content recommendation box.
approach
Approach
Implement three engines:
  • themes collector to gather trends and tendencies from the web
  • semantic engine to create precise content profiles
  • statistical engine to provide accurate propensity models
result
Result
A server-side application that recommends the most relevant articles in real time for each user, based on their profile, session, and context. Delivers more than 2x the performance of the previous recommendation system.
Categories
Type
  AI & Data Science
Predictive analysis
Need
  Benefit
Data valorization
  Business function
Sales & Marketing
  Industry
Telco, Media & Entertainment, Publishers, Finance, Tourism & Events, Education
  Business Model
B2B, B2C
  Business Size
Large Enterprises
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