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Heap overflow is one of the most widely exploited vulnerabilities, with a large number of heap overflow instances reported every year. It is important to decide whether a crash caused by heap overflow can be turned into an exploit. Efficient and effective assessment of exploitability of crashes facilitates to identify severe vulnerabilities and thus prioritize resources. In this paper, we propose...
To alleviate the data collection latency problem in mobile WSNs, we shorten the data collection path by visiting a minimal set of points in the network, which we call the {\it Stop Point Set} (SPS). A point selection method named path-points identification method has been proposed recently, which plays the same role as our SPS calculating method. However, as a clustering based method, it may not scale...
Recommender system emerges as a technology addressing "information overload" problem. Collaborative Filtering (CF) is successful and widely used in many personalized recommender applications, such as digital library, e-commerce, news sites, and so on. However, most collaborative filtering algorithms suffer from data sparsity problem which leads to inaccuracy of recommendation. This paper...
Stream media synchronization remains to be a challenging task due to the ldquobest-effortrdquo transport network and complicated application. Unpredictable channel behaviors make it rather difficult to fulfill both the synchronization requirements and delay requirements simultaneously. This paper research stream media synchronization solution on low level layer; analyze the un-sync causes in terms...
Collaborative filtering (CF) is one of the most successful technologies in recommender systems, and widely used in many personalized recommender applications, such as digital library, e-commerce, news sites, and so on. However, most collaborative filtering algorithms suffer from data sparsity problem which leads to inaccuracy of recommendation. This paper is with an eye to missing data imputation...
Energy in WSNs can be significantly saved by integrating a mobile BS, which on the other hand may impose the network an unacceptable latency. In this paper, we overcome this problem by making the path of the mobile BS as short as possible. Our method mainly consists of three steps. First, we construct a virtual network from which to choose the location that the BS must arrive. Next, we apply a weighting...
In present recommender systems, users receive items recommended on basis of their purchase records. New user experiences the cold start problem : as there records is very poorly. This paper proposed an NCT/TF(number of common terms / term frequency) collaborate filtering algorithm Based on demographic vector. First, generates user demographic vector base on the user information (age, occupation, gender)...
Recent research shows that the node energy in WSNs can be significantly saved by integrating mobile BS into the network, which is capable of collecting data from sensor nodes. However, the mobile BS may aggravate the latency problem of the network, and thus hinder its use. Rendezvous points are a subset of nodes that buffer data from other sensor nodes, and transfer the buffered data to mobile BS...
Collaborative filtering is one of the most successful technologies for building recommender systems, and is extensively used in many personalized systems. However, existing collaborative filtering algorithms have been suffering from data sparsity and scalability problems which lead to inaccuracy of recommendation. In this paper, we focus the collaborative filtering problems on two crucial steps: (1)...
Blog post summarization using fast features facilitates users' quick browsing through blog search results. Much existing research on blogs ignores blog tags and text structure. In this paper, we re-formalize the blog post summarization problem as a sentence extraction and sentence ranking problem. Three fast features, important sentences, blog tags and blog comments, are proposed to calculate salience...
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