In recent years, voice knowledge sharing and question answering (Q&A) platforms have attracted much attention, which greatly facilitate the knowledge acquisition for people. However, little research has evaluated on the quality evaluation on voice knowledge sharing. This paper presents a data-driven approach to automatically evaluate the quality of a specific Q&A platform (Zhihu Live). Extensive experiments demonstrate the effectiveness of the proposed method. Furthermore, we introduce a dataset of Zhihu Live as an open resource for researchers in related areas. This dataset will facilitate the development of new methods on knowledge sharing services quality evaluation.
Cite
@article{arxiv.1903.00384,
title = {Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform},
author = {Lu Xu and Jinhai Xiang and Yating Wang and Fuchuan Ni},
journal= {arXiv preprint arXiv:1903.00384},
year = {2019}
}