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Short text stream classification is a challengingand significant task due to the characteristics of short length, weak signal, high velocity and especially topic drifting in short text stream. However, this challenge has received little attention from the research community. Motivated by this, we propose a new feature extension approach for short text stream classification using a large scale, general...
Cloud computing has emerged as the primary and popular computing paradigm recently. Since cloud users move continuously, sustaining the required quality of service (QoS) in a cost effective manner is very challenging. For maintaining the required QoS for a moving user, the current cloud systems use some of the existing service replication or/and migration strategies. However, those policies become...
Along with popular of academic social media, academic blogs are one of the user generated academic information that can be annotated using social tags for user's information retrieval and organization. In order to improve the existing social tagging system to satisfy the users' needs, users' tagging behavior need to be understood. However, there is no researches on characterizing user tagging behaviors...
Social networks have got increasing attention in recent years, and Social Networking Services (SNS), such as QQ, Facebook and Twitter, are among the most popular network applications on the internet. The popularity of these SNS attract more and more researchers to focus on the study of attributes of social network, especially the groups which are ubiquitous in social networks, both to improve current...
Rating aggregation is critical to the quality control of recommendation systems and its effectiveness is a deep concern of all users. However, there are some problems in existing recommendation systems. For example, some of the raters from certain source are much more stringent than others, leading the phenomena that some entities with better quality are rejected. In this paper, we propose a novel...
Online Social Networks (OSNs) have been used as the means for a variety of applications, like employment system, e-Commerce and CRM system. In these applications, social influence acts as a significant role, affecting people's decision-making. However, the existing social influence evaluation methods do not fully consider the social contexts, like the social relationships and the social trust between...
Online Social Networks (OSNs) have been used to enhance service provision and service selection, where trust is one of the most important factors for the decision making of service consumers. Thus, it is significant to evaluate the trustworthiness of the service providers along the social trust paths from a service consumer to a service provider. However, there are usually many social trust paths...
With the rapid development of mobile cloud computing, the identity authentication has become more and more important. but most of the authentication methods were authenticating device rather than users. Context aware information, such as, operational context, personal context, spatial context, and environmental context, can provide users with their really needed services without any explicit requests...
Multi-Document summarization is an emerging technique for understanding the main purpose of many documents about the same topic. This paper proposes a new feature selection method to improve the summarization result. When calculating similarity, we use a modified TFIDF formula which achieves a better result. We adopt two ways for exactly extracting keywords. Experimental results demonstrate that our...
An interactive electronic technical manual (IETM) is a digital document designed to operate interactively with the user. In order to organize lots of technical data in IETMs, an IETM data model is needed. In this paper, we propose an extensible IETM data model which consists of a minimal set of data types to define the core processing logic of IETM browsers. Domain-specific data types are created...
How to obtain the high-level knowledge, such as semantic knowledge, to do deep processing of natural language is a focus in the field of natural language processing (NLP) these days. In this paper, we do research on the construction of semantic acknowledge base against the background of post-processing of speech recognition. Based on reviewing existing methods, authors present and realize a new domain-independent...
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