混合实用功能的意想不到的建议

Proceedings of the 13th International Conference on Web Search and Data Mining Pub Date : 2020-01-20 DOI:10.1145/3336191.3372183

P. Li

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引用次数: 1

摘要

非预期性是推荐系统提高用户满意度和避免过滤气泡问题的重要因素。在本建议中，我们建议使用混合效用函数作为估计评级，意外，相关性和烦恼的混合物来提供意想不到的建议。我们计划进行广泛的实验来验证所提出方法的优越性。

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Hybrid Utility Function for Unexpected Recommendations

Unexpectedness constitutes an important factor for recommender system to improve user satisfaction and avoid filter bubble issues. In this proposal, we propose to provide unexpected recommendations using the hybrid utility function as a mixture of estimated ratings, unexpectedness, relevance and annoyance. We plan to conduct extensive experiments to validate the superiority of the proposed method.

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Proceedings of the 13th International Conference on Web Search and Data Mining

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