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Researchers Submit Patent Application, 'Method and System for Providing Recommendations in a Social Network', for Approval

机译:研究人员提交专利申请“在社交网络中提供推荐的方法和系统”以供批准

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News editors obtained the following quote from the background information supplied by the inventors: "Recommender systems enable users to quickly locate the interested items and have become an important tool to overcome the information overload problem. Recommender systems are usually classified into three categories: 1) content based recommendations; 2) Collaborative Filtering (CF) recommendations; and 3) hybrid approaches. Content-based recommendations rely on content descriptions, and match the content with the users preference. Collaborative Filtering (CF) recommendations use the opinions of a set of users to predict another user's interest. The recommendation scheme of the present invention falls into CF recommendation category.
机译:新闻编辑从发明人提供的背景信息中获得了以下引文:“推荐系统使用户能够快速定位感兴趣的项目,并已成为克服信息过载问题的重要工具。推荐系统通常分为三类:1)基于内容的推荐; 2)协同过滤(CF)推荐;以及3)混合方法基于内容的推荐依赖于内容描述,并使内容与用户的喜好相匹配协同过滤(CF)推荐使用一组建议用户预测另一个用户的兴趣,本发明的推荐方案属于CF推荐类别。

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