Hello dear all.
I would to build a recommendation system to suggest questions and seek for right resources to read and suggestions. The idea is to build a recommender system like for stack overflow that will suggest to a user when he is typing his question similar or match questions that are already answered by the forum in order to avoid asking the same question. This will help people answering new questions rather than giving an answer to the same question again ( as people have many issues everyday and use developers forum for help).
Thanks
1. How much data do I need?
2. We have this system in place, how do we know whether it is sane?
3. Which algorithm is best?
4.How efficient is the system?
5.What is the temporal and computational complexity of each subsection?
etc
Please consider these links
https://arxiv.org/pdf/2005.14255.pdf
https://www.researchgate.net/topic/Recommender-Systems
https://www.mlstack.cafe/interview-questions/recommendation-systems
https://lemire.me/blog/2010/02/22/most-common-questions-about-recommender-systems/
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