TED is an awesome platform for ideas, so we thought an interesting experiment would be having our API provide recommendations based on the talks’ transcripts.
Stack Overflow is a programming Q&A website with over 4M users and 9M posts. It is one of many such sites on a variety of topics run by StackExchange. Stack Overflow is highly successful at gameifying the answering of questions through a reputation system based on up-votes and bounties. Users can use the reputation points and badges they win to support job applications, and employers can use the reputation to find the best employees. So answering many questions and earning tons of points is something that users take very seriously. But how can I find questions that I can answer?