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Titlebook: Web Technologies and Applications; 17th Asia-Pacific We Reynold Cheng,Bin Cui,Jia Xu Conference proceedings 2015 Springer International Pub

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Trustworthy Collaborative Filtering through Downweighting Noise and Redundancyeract with merchants and service providers. Such purchasing logs and comments further lead to proliferation of recommender systems. Existing recommendation algorithms exploit either prior transactions or customer reviews to predict user interests towards certain items. Vast noise may be introduced i
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Hashtag Sense Induction Based on Co-occurrence Graphsads to a situation such that one hashtag may have multiple senses. In this paper, we propose a method to induce senses of a hashtag in a particular time frame. Our assumption is that for a sense of a hashtag the context words around it are similar. Then we design a method that uses a co-occurrence g
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Hybrid-LSH for Spatio-Textual Similarity Queriesrward to utilizing LSH in mobile applications for processing spatio-textual similarity queries, such as find nearby shopping centers that have a top ranked hair salon. In this paper, we present hybrid-LSH, a new LSH method for indexing data objects according to both their spatial location and their
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Efficient Buffer Management for PCM-Enhanced Hybrid Memory Architectureow energy consumption, and high read performance. However, PCM has a lower write speed than DRAM. Besides, it has a limited write endurance. Therefore, the co-existence of PCM and DRAM in main memory urges a careful buffer-management policy to avoid frequent writes to PCM. To address this problem, w
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Sleep Quality Evaluation of Active Microblog Userslog is the largest microblog platform with 500 million registered users in China. A microblog user is called AMU if s/he posts more than 100 microblogs during a year. Our study is meaningful because the amount of AMUs is huge in China and the results can reflect the lifestyle of these people. The pr
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Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networksachievable. Understanding it correctly could result in appealing applications, such as targeted advertising and friends recommendation. In this paper, we focus on mining users’ relationship based on their mobility information. More specifically, we propose to use distance between two users to predic
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