Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System

Understand

The news recommender systems are marked by a few unique challenges specific to the news domain.

• These challenges emerge from rapidly evolving readers' interests over dynamically generated news items that continuously change over time.
• News reading is also driven by a blend of a reader's long-term and short-term interests.
• In addition, diversity is required in a news recommender system, not only to keep the reader engaged in the reading process but to get them exposed to different views and opinions.