Automating the selection of stories for AI in the news

Authors:
Liang Dong;Reid G. Smith;Bruce G. Buchanan
Affiliations:
School of Computing, Clemson University, SC;Marathon Oil Corporation;Computer Science Department, Univ. of Pittsburgh, PA
Venue:
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Year:
2011

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Abstract

It is relatively easy, albeit time-consuming, for a person to find and select news stories that meet subjective judgments of relevance and interest to a community. NewsFinder is an AI program that automates the steps involved in this task, from crawling the web to publishing the results.NewsFinder incorporates a learning program whose judgment of interestingness of stories can be trained by feedback from readers. Preliminary testing confirms the feasibility of automating the service to write AI in the News for the AAAI.