Re-ranking voting-based answers by discarding user behavior biases

Xiaochi Wei, Heyan Huang, Chin Yew Lin, Xin Xin, Xianling Mao, Shangguang Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

The vote mechanism is widely utilized to rank answers in community-based question answering sites. In generating a vote, a user's attention is influenced by the answer position and appearance, in addition to real answer quality. Previously, these biases are ignored. As a result, the top answers obtained from this mechanism are not reliable, if the number of votes for the active question is not sufficient. In this paper, we solve this problem by analyzing two kinds of biases; position bias and appearance bias. We identify the existence of these biases and propose a joint click model for dealing with both of them. Our experiments in real data demonstrate how the ranking performance of the proposed model outperforms traditional methods with biases ignored by 15.1% in precision@1, and 11.7% in the mean reciprocal rank. A case st-udy on a manually labeled dataset futher supports the effectiveness of the proposed model.

源语言英语
主期刊名IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence
编辑Michael Wooldridge, Qiang Yang
出版商International Joint Conferences on Artificial Intelligence
2380-2386
页数7
ISBN(电子版)9781577357384
出版状态已出版 - 2015
活动24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, 阿根廷
期限: 25 7月 201531 7月 2015

出版系列

姓名IJCAI International Joint Conference on Artificial Intelligence
2015-January
ISSN(印刷版)1045-0823

会议

会议24th International Joint Conference on Artificial Intelligence, IJCAI 2015
国家/地区阿根廷
Buenos Aires
时期25/07/1531/07/15

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