Dr. Li Chen and PhD Graduate Wen Wu Win the 2018 UMUAI James Chen Best Paper Award

Dr. Li Chen, Associate Professor of the Department of Computer Science, and PhD graduate Wen Wu (2018 graduate) received the 2018 User Modeling and User-Adapted Interaction (UMUAI) James Chen Best Paper Award for their co-authored paper “Personalizing Recommendation Diversity based On User Personality“.

The award-winning paper proposes generalized, dynamic personality-based greedy re-ranking approach to generating the recommendation list. On one hand, personality is used to estimate each user’s diversity preference. On the other hand, personality is leveraged to alleviate the cold-start problem of collaborative filtering recommendations. The experimental results demonstrate that the proposed approach significantly outperforms related methods in terms of metrics measuring recommendation accuracy and personalized diversity degree, especially in the cold-start setting.

UMUAI has been recognized as one of the top-tier journals in the areas of user modeling and human computer interaction. It has been published since 1991 by Kluwer Academic Publishers (now merged with Springer Verlag). UMUAI provides an interdisciplinary forum for the dissemination of new research results on interactive computer systems that can be adapted or adapt themselves to their current users, and on the role of user models in the adaptation process. The UMUAI James Chen Award is given to the best annual UMUAI journal article.