Content-based recommender systems operate by analyzing the content features of items (such as descriptions or documents) that have been previously scored by target users, and then employing machine learning models to learn user interests.

Authors

• Person: Not available Organization: Springer
  Knowledge Graphs: Opportunities and Challenges - Springer Nature

Sources

• Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer via serper

Referenced by nodes (1)

• machine learning models concept