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Titlebook: Web Information Systems Engineering -- WISE 2013; 14th International C Xuemin Lin,Yannis Manolopoulos,Guangyan Huang Conference proceedings

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楼主: ARGOT
发表于 2025-4-1 05:48:45 | 显示全部楼层
Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computing in a real comment set of Chinese forum. The results show that drift timestamps determined and opinion drifts detected correspond to the real event, so the approach proposed in this paper is feasible and effective in the application of Web public opinion analysis.
发表于 2025-4-1 07:49:07 | 显示全部楼层
发表于 2025-4-1 10:16:14 | 显示全部楼层
Exploiting User Queries for Search Result Clusteringthat exploits the user query and uses both syntactic and semantic features of the search results to construct clusters and labels. Experiments show that the query senses are good candidates for the cluster labels and the algorithm can lead to high quality cluster and more semantically meaningful labels than other state-of-the-art algorithms.
发表于 2025-4-1 17:52:52 | 显示全部楼层
Taxonomy Based Personalized News Recommendation: Novelty and Diversityl, but potentially related items into the list, and filter out redundant ones. The experimental results show that the coarse grained knowledge resources can help a content-based news recommender system provides accurate as well as user-oriented recommendations.
发表于 2025-4-1 18:49:09 | 显示全部楼层
Taxonomy Based Personalized News Recommendation: Novelty and Diversityl, but potentially related items into the list, and filter out redundant ones. The experimental results show that the coarse grained knowledge resources can help a content-based news recommender system provides accurate as well as user-oriented recommendations.
发表于 2025-4-1 23:32:01 | 显示全部楼层
The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documentsgory. A final clustering solution is obtained by exploiting associations between document pairs and . of the documents. Empirical analysis with various real data sets reveals that the proposed method outperforms state-of-the-art text clustering approaches.
发表于 2025-4-2 04:57:55 | 显示全部楼层
The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documentsgory. A final clustering solution is obtained by exploiting associations between document pairs and . of the documents. Empirical analysis with various real data sets reveals that the proposed method outperforms state-of-the-art text clustering approaches.
发表于 2025-4-2 10:52:25 | 显示全部楼层
Youliang Zhong,Lan Du,Jian Yangbisher zu diesem Thema geschehen erforderlich. Nach einer wissenschaftlichen Umfrage ist 2/3 der Deutschen das Konzept eines bedingungslosen Grundeinkommens bekannt. 15 % aller Deutschen würden bei einem Grundeinkommen von 1500 € pro Monat ihren Job kündigen. Über 75 % der Berufstätigen würden in je
发表于 2025-4-2 12:59:55 | 显示全部楼层
Shengsheng Shi,Wu Wei,Yulong Liu,Haitao Wang,Lei Luo,Chunfeng Yuan,Yihua Huangst von seinem Ziel. Die Grundlage für Innovation ist Imagination, die Vorstellung und der Wille, dass etwas anders, dass etwas Neues in die Welt kommt. Hannah Arendt beginnt ihr Buch . mit einem inspirierenden Gedanken: „Wie kann man nur angesichts dieser und ähnlicher Tatbestände“, gemeint ist der
发表于 2025-4-2 15:31:51 | 显示全部楼层
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