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Building Recommendation Engines by Suresh Kumar Gorakala

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Chapter 10. What Next - The Future of Recommendation Engines

Thank you for taking this wonderful journey with me so far. I hope you have got a fair idea of how to build recommendation engines using various technologies such as R, Python, Mahout, Spark, and Neo4j. We have covered recommendation engines such as neighborhood recommendations, model-based content recommendations, and context-aware, scalable, real-time, graph recommendations.

I would like to touch upon two things in the concluding chapter:

  • Technological shift and motivational shift driving the future of recommendation engines
  • Popular methodologies for improving the quality of recommendation engines

In the Future of recommendation engines section, I will summarize one of my talks about recommendation ...

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