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A Knowledge Recommendation Algorithm Based on Content Syndication

机译:一种基于内容联合的知识推荐算法

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Effective knowledge sharing and its fast spread play an important role in realizing knowledge management in an organization. The deficiency of existing knowledge sharing technological measures restrict the spread of knowledge and its efficiency, thus users have to spend large amount of time to search all kinds of knowledge they need. This study proposes a knowledge recommendation algorithm to improve the efficiency and accuracy of finding and locating knowledge source through search engine. We first define a content syndication based knowledge sharing network, and then we propose a knowledge recommendation algorithm based on content syndication in knowledge sharing network. This algorithm combines the relationship between users with their search history to carry out knowledge recommendation and has both theoretical and practical value.
机译:有效的知识共享及其快速传播在实现组织中的知识管理方面发挥着重要作用。现有知识共享技术措施的缺陷限制了知识的传播及其效率,因此用户必须花费大量时间来搜索他们所需的各种知识。本研究提出了一种知识推荐算法,通过搜索引擎提高查找和定位知识源的效率和准确性。我们首先定义了基于内容联合的知识共享网络,然后我们提出了一种基于知识共享网络中的内容联合的知识推荐算法。该算法将用户与搜索历史之间的关系结合起来,以执行知识推荐,并具有理论和实用价值。

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