Combinational collaborative filtering for personalized community recommendation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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Confucius is a great teacher in ancient China. His theories and principles were effectively spread throughout China by his disciples. Confucius is the product code name of Google's Knowledge Search product, which is developed at Google Beijing office. In this talk, I present Knowledge Search's key disciples, which are data management subroutines that generate labels for questions, that match existing answers to a question, that evaluate quality of answers, that rank users based on their contributions, that distill high-quality answers for search engines to index, and that route questions to domain experts, and etc. This talk presents scalable algorithms that we have devised to make these disciples effective in dealing with huge datasets. Efforts in making these algorithms run even faster on thousands of machines, and some open research problems will also be presented.