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

熄灭

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.

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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

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.

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反叛者

畏缩

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

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

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