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Titlebook: Web Technologies and Applications; APWeb 2015 Workshops Ruichu Cai,Kang Chen,Lei Zou Conference proceedings 2015 Springer International Pub

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樓主: broach
51#
發(fā)表于 2025-3-30 09:03:57 | 只看該作者
Cross-Lingual Entity Query from Large-Scale Knowledge Graphseen Chinese entities and English knowledge graphs. The experiments show that our approach can achieve a high precision of 82.3?% for the task of finding cross-lingual entities on a test dataset. Our experiments for the sub task of finding missing cross-lingual links show that our approach has a prec
52#
發(fā)表于 2025-3-30 15:48:52 | 只看該作者
Cross-Lingual Entity Query from Large-Scale Knowledge Graphseen Chinese entities and English knowledge graphs. The experiments show that our approach can achieve a high precision of 82.3?% for the task of finding cross-lingual entities on a test dataset. Our experiments for the sub task of finding missing cross-lingual links show that our approach has a prec
53#
發(fā)表于 2025-3-30 19:25:54 | 只看該作者
Zhimin Zhong,Yuliang Zhang,Guanglong Yang,Yongping Kong
54#
發(fā)表于 2025-3-30 20:58:08 | 只看該作者
55#
發(fā)表于 2025-3-31 04:02:41 | 只看該作者
An Empirical Study of a Large Scale Online Recommendation Systemdeal with the scalability issues, we implemented our system with both Apache Storm (for real-time prediction and classification) and Apache Spark (for fast off-line model training). A group of experiments were carried out with real-world data sets and the results show the efficiency and effectiveness of our proposed approach.
56#
發(fā)表于 2025-3-31 05:15:33 | 只看該作者
Protecting Location Privacy in Spatial Crowdsourcing-anonymity to protect the workers’ location privacy. However, it will result in the consequence that various spatial tasks can’t be performed. To improve the spatial task assignment, we propose an optimized scheme for spatial task assignment without compromising the workers’ location privacy, and verify the effect through our experiments.
57#
發(fā)表于 2025-3-31 09:21:21 | 只看該作者
58#
發(fā)表于 2025-3-31 16:20:35 | 只看該作者
Multi-dimensional User Credibility Analysis on Review Contentxt and can sensitively capture fluctuates among aspects. We model user scoring relationship by a weighted bipartite graph with users and aspects as nodes and credibility as weights. An iteration algorithm is designed for credibility calculation on the graph. We perform extensive experiments to demonstrate the advantages of our design.
59#
發(fā)表于 2025-3-31 18:43:24 | 只看該作者
Multi-dimensional User Credibility Analysis on Review Contentxt and can sensitively capture fluctuates among aspects. We model user scoring relationship by a weighted bipartite graph with users and aspects as nodes and credibility as weights. An iteration algorithm is designed for credibility calculation on the graph. We perform extensive experiments to demonstrate the advantages of our design.
60#
發(fā)表于 2025-3-31 22:01:16 | 只看該作者
A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms actual data, and the results are compared with those of Bayesian algorithm and similarity computing algorithm respectively. The results show that the proposed method achieves a higher precision rate.
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