ID | 原文 | 译文 |
4864 | 其次,将带有隐含上下文信息的服务评分向量作为服务的特征向量,构建训练集,上下文信息的引入并没有增加服务特征向量的维数; | Secondly, the rating vectors with embedded contexts were used as servicefeature vectors to construct training set, meanwhile the dimension of service feature vector were not increased by the in-troduction of contexts. |
4865 | 然后,根据训练集使用 SVM 获得目标用户的分类超平面,构建 SVM 预测模型; | Thirdly, a separation hyperplane for active user was acquired based on training set using SVM,and then the SVM prediction model was built. |
4866 | 最后,计算目标用户未使用服务的特征向量点与超平面的距离,综合考虑该距离以及相似用户的推荐,做出服务推荐。 | Finally, the distances between the feature vector points representing theactive users' unused services and the hyperplane were calculated. Considering the distances and the recommendation ofsimilar users, the service list was recommended. |
4867 | 实验结果表明,所提推荐方法在不同的评分矩阵密度下均具有较好的推荐精度,并且能够缩短推荐时间。 | The experimental results further demonstrate that the proposed methodhas better recommendation accuracy under different rating matrix densities and can reduce recommendation time. |
4868 | 针对传统方法考虑随机误差影响因素不够全面的问题,建立了一种更加真实的 GPS 观测量随机误差模型。 | Aiming at the problem of not enough influencing factors were considered in traditional methods, a much morerealistic stochastic model was built. |
4869 | 该方法在几何相关功能模型中引入了误差修正项,采用了一种以空间换时间的改进LS-VCE算法对模型进行求解,采集了 2 组真实的 GPS 实测数据对模型进行性能评估,并利用该模型解算了载波相位整周模糊度。 | In which error corrections were introduced into the geometry-based function model,an improved least squares variance component estimation (LS-VCE) algorithm with space-for-time was used to solve themodel, two sets of real GPS data were collected to evaluate the performance of the model, and with which the carrierphase integer ambiguity was solved. |
4870 | 实验结果表明,所提方法在模型精度、模型求解复杂度及整周相位模糊度解算成功率等方面均优于传统方法。 | The experimental results show that the proposed methods are superior to the tradi-tional methods in terms of model accuracy, model solution complexity and integer ambiguity resolution. |
4871 | 针对机会社交网络环境下资源查询成功率低的问题,提出一种基于时变兴趣社区的查询消息路由算法。 | To solve the problem that the successful rate of resource query is low in opportunity social network, a querymessage routing algorithm based on time-variant interest community was proposed. |
4872 | 首先,分析了 2 个重要的移动社交网络数据集,发现了用户节点行为在时间和空间上的关联性和规律性; | Two well-known mobile social data-sets were firstly analyzed, and then the temporal and spatial correlations of users were found. |
4873 | 然后,基于用户行为在时空上的关联和规律性,构建了时变兴趣社区; | The time-variant interest communities based on temporal and spatial correlations of users were constructed. |