主题研究中基于协同过滤的专家推荐

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI:10.1145/3209914.3209939

Gaochao Li, Xin Jin, Zhonghua Wang, Xunxun Chen, Xiao Wu

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引用次数: 0

摘要

本文实现了一种基于协同过滤的专家推荐方法。推荐模型从历史数据中提取潜在的评价专家，计算出过去学科与当前学科之间的相关性，得到专家的评价经验指数和个人能力指数，计算专家与学科之间的研究方向相关性，最终推荐出最合适的专家。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Expert Recommendation Based on Collaborative Filtering in Subject Research

This article implements a method for expert recommendation based on collaborative filtering. The recommendation model extracts potential evaluation experts from historical data, figures out the relevance between past subjects and current subjects, obtains the evaluation experience index and personal ability index of experts, calculates the relevance of research direction between experts and subjects and finally recommends the most proper experts.

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Proceedings of the 1st International Conference on Information Science and Systems

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