A Serendipity Model for News Recommendation

Author:

Jenders M.,Lindhauer T.,Kasneci G.,Krestel R.,Naumann F.

Publisher

Springer International Publishing

Reference16 articles.

1. Adomavicius, G., Kwon, Y.: Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. Knowl. Data Eng. 24(5), 896–911 (2012)

2. Akiyama, T., Obara, K., Tanizaki, M.: Proposal and evaluation of serendipitous recommendation method using general unexpectedness. In: Workshop on the Practical Use of Recommender Systems, Algorithms and Technologies, p. 3 (2010)

3. Asikin, Y.A., Wörndl, W.: Stories around you: location-based serendipitous recommendation of news articles. In: Proceedings of the International Workshop on News Recommendation and Analytics (2014)

4. Bache, K., Newman, D., Smyth, P.: Text-based measures of document diversity. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining, pp. 23–31. ACM (2013)

5. Bordino, I., Mejova, Y., Lalmas, M.: Penguins in sweaters, or serendipitous entity search on user-generated content. In: Proceedings of ACM International Conference on Information and Knowledge Management, CIKM, pp. 109–118 (2013)

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