AI Bibliography

In the past five years, the machine learning and artificial intelligence commu- nities have done significant work in using algorithms to identify patterns within data.

These patterns have then been applied to various problems, such as predicting individuals’ future responses to actions and performing pattern-of-life analysis on persons of interest. Some of these algorithms have widespread application to Department of Defense (DoD) and intelligence community (IC) missions. One machine learning and artificial intelligence technique that has shown great promise to DoD and IC missions is the recommender system, summarized by Resnick and Varian, and its extensions described by Adomavicius and Tuzhilin. A recommender system is one that uses active informa- tion-filtering techniques to exploit past user behavior to suggest information tailored to an end user’s goals. In a recent working paper, the Office of the Director of National Intelligence’s Technical Experts Group’s Return on Investments team has identified recommender systems as a key “developing application” in their process map of “The Intelligence Cycle and Human Language Technology.”