Oct 13, 2016 · In this study, we propose three probabilistic models to rank the user authority of each question. Compared to the existing approaches focused on ...
Abstract. The proliferation of knowledge-sharing communities has generated large amounts of data. Prominent examples of how user-generated content can be ...
We use a real-world dataset from Zhihu, a popular community question answering website in China to conduct experiments. Experimental results show that our model ...
Facing such massive data, user authority ranking is important to the development of question answering and other e-commerce services. In this study, we propose ...
Liu, ZhihuRank: A topic-sensitive expert finding algorithm in community question answering websites, Proceedings of the 14th International Conference on ...
Oct 13, 2016 · In this study, we propose three probabilistic models to rank the user authority of each question. Compared to the existing approaches focused on ...
Oct 23, 2020 · We present a novel expert ranking algorithm based on the quality of user posts and the authority of user in community.
User authority ranking models for community question answering. Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal.
User authority ranking models for community question answering ...
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Jan 9, 2021 · The authority model takes into account questions and the relationships among their answerers. Abstract. Here, we propose a topic sensitive ...