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Personalized News Event Retrieval for Small Talk in Social Dialog Systems | VDE Conference Publication | IEEE Xplore

Personalized News Event Retrieval for Small Talk in Social Dialog Systems

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Abstract:

This paper presents the NewsTeller system which retrieves a news event based on a user query and the user's general interests. It can be used by a social dialog system to...Show More

Abstract:

This paper presents the NewsTeller system which retrieves a news event based on a user query and the user's general interests. It can be used by a social dialog system to initiate news-related small talk. The NewsTeller system is implemented as a pipeline with four stages: After collecting a large set of potentially relevant news events, a classifier is used to filter out malformed events. The remaining events are then ranked according to a relevance value predicted by a regressor. In a final step, a short summary of the highest-ranked event is generated and returned to the user. Both the classifier and the regressor were evaluated on hand-labeled data sets. In addition to this, a user study was conducted to further validate the system. Evaluation results indicate that the proposed approach performs significantly better than a random baseline.
Date of Conference: 05-07 October 2016
Date Added to IEEE Xplore: 08 December 2016
Print ISBN:978-3-8007-4275-2
Conference Location: Paderborn, Germany