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Titlebook: Web-Age Information Management; 16th International C Xin Luna Dong,Xiaohui Yu,Yizhou Sun Conference proceedings 2015 Springer International

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樓主: Malnutrition
61#
發(fā)表于 2025-4-1 05:13:00 | 只看該作者
62#
發(fā)表于 2025-4-1 09:32:07 | 只看該作者
Community Detection Based on Minimum-Cut Graph Partitioningandom graph. This article demonstrates that (i) modularity maximization can be transformed into versions of the standard minimum-cut graph partitioning, and (ii) normalized version of modularity maximization is identical to normalized cut graph partitioning. Meanwhile, we innovatively combine the mo
63#
發(fā)表于 2025-4-1 11:01:34 | 只看該作者
Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feedso capture the evolutionary patterns since the semantic coherence is usually difficult to be expressed and the timeline structure is always intractable to be organized. In this paper, we propose a novel strategy, in which a coherent topic hierarchy is designed to deal with these challenges. First, we
64#
發(fā)表于 2025-4-1 16:35:45 | 只看該作者
Age Detection for Chinese Users in Weibot and recommendation. Current research has uncovered the relationship between the use of western language and social identities to some extents. However, the age detection problem for Chinese users is so far unexplored. Due to the cultural and societal difference, some well known features in English
65#
發(fā)表于 2025-4-1 21:44:03 | 只看該作者
66#
發(fā)表于 2025-4-1 23:09:20 | 只看該作者
A Question Answering System Built on Domain Knowledge Base. With the increasing amount of online information, it is highly needed to answer users’ concerns on a specific domain such as health-related questions. In this paper, we proposed a general framework for domain-specific interactive question answering systems which takes advance of domain knowledge b
67#
發(fā)表于 2025-4-2 02:53:51 | 只看該作者
68#
發(fā)表于 2025-4-2 07:56:43 | 只看該作者
Multimodal-Based Supervised Learning for Image Search Rerankingiversity and so on. Current image reranking methods are often based on a single modality. However, it is hard to find a general modality which can work well for all kinds of queries. This paper proposes a multimodal-based supervised learning for image search reranking. First, for different modalitie
69#
發(fā)表于 2025-4-2 12:42:28 | 只看該作者
Novel Word Features for Keyword Extractionxt mining, and information retrieval etc. This paper introduces novel word features for keyword extraction. These new word features are derived according to the background knowledge supplied by patent data. Given a document, to acquire its background knowledge, this paper first generates a query for
70#
發(fā)表于 2025-4-2 17:27:23 | 只看該作者
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