熄灭
发表于 2025-3-28 18:06:18
iPLUG: Personalized List Recommendation in Twittertstrapping Twitter Lists, we envision a novel tool that automatically creates personalized Twitter Lists and recommends them to users. Compared with lists created by real Twitter users, the lists generated by our algorithms achieve 73.6% similarity.
microscopic
发表于 2025-3-28 21:14:23
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Handedness
发表于 2025-3-28 23:03:22
Conference proceedings 2013 data engineering and database; semi-structured data and modeling; Web data integration and hidden Web; challenge; social Web; information extraction and multilingual management; networks, graphs and Web-based business processes; event processing, Web monitoring and management; and innovative techniques and creations.
农学
发表于 2025-3-29 06:52:43
Recommending Interesting Landmarks Based on Geo-tags from Photo Sharing Sites Finally, we propose a personalized landmark recommendation algorithm based on the fusion user similarity. Experimental results show that our proposed approach can obtain a better performance than several state-of-the-art methods.
Offensive
发表于 2025-3-29 10:45:27
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反叛者
发表于 2025-3-29 12:09:09
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畏缩
发表于 2025-3-29 17:11:22
Discovering Correlated Entities from News Archivesed via the analysis of the dependencies between entities and their associated topics as well as topic correlations. We evaluate the approach upon BBC news dataset and results demonstrate the higher quality of discovered entity correlations compared with existing methods.
沐浴
发表于 2025-3-29 22:11:19
An Evaluation of Aggregation Techniques in Crowdsourcingications. One of the biggest challenges of crowdsourcing is aggregating the answers collected from the crowd since the workers might have wide-ranging levels of expertise. In order to tackle this challenge, many aggregation techniques have been proposed. These techniques, however, have never been co
贫穷地活
发表于 2025-3-30 00:17:40
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Morose
发表于 2025-3-30 07:49:02
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