Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems - researchr publication authors

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Shunpan Liang, Lin Ma, Fuyong Yuan. Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems. In Federica Cena, Michel Desmarais, Darina Dicheva, editors, Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016. Volume 1618 of CEUR Workshop Proceedings, CEUR-WS.org, 2016. [doi]

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