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Single source refers to the unified measurement of different aspects of the same individual based on data from multiple sources. In the context of UGC, single source data can be used to study at least two important but as yet insufficiently investigated theoretical issues. First, single source data are ideal sources for studying inter-platform dynamics such as user migration across UGC platforms....
Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users' influence scores. They rarely consider a person's expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand...
Far beyond relationship topology, today's online social networks are also characterized by semantically rich text messages exchanged among users as well as GPS locations associated with those messages, as evidenced by Twitter's geotagged tweets. Textual contents help characterize users' personal interests, while geographical features help link users' behaviors in the online world to those in the physical...
Community detection in inhomogeneous structured network is an attractive research problem that searches for methods to discover groups in which individuals are more densely interconnected with each other with higher probability of internal information propagation. While most of the previous approaches attempt to divide networks into communities according to the algorithm results of network or edge...
Many recent publications deal with trend analysis, event detection or opinion mining on social media data. Twitter, as the most important microblogging service, is often in the focus of these works, as it offers free access to big volumes of data. The free access, on that many publications rely, is composed of a random subset of the complete public status stream. Publications rely particularly on...
Recently, the TV landscape is rapidly shifting from the traditional “laid-back” experience to a “lean-forward” multiscreen experience. In this paper, we propose MUTAS (MUltiscreen TV experience As a Service), a novel cloud-based service delivery model, in response to this trend. The design objective is to facilitate the development process of new multi-screen features, and improve user experiences...
IT Governance plays a key role in the development of banking business activities and is an indivisible part of corporate governance as a whole. This paper presents the current state of the art of the IT governance framework initiatives implemented or followed in banking. Additionally, a high level survey on the use of IT governance frameworks has been conducted amongst a group of IT Security representatives...
This position paper illustrates applications of a context-based face recognition system for smart web tasking. Context-based face recognition can provide a personalized service based on recognition face and derived context information. Using selected smart applications, we show how context-based face recognition system could help deliver personalized services.
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
We propose a model for native online advertising, a recent technique able to safeguard user's online experience and yet greatly accelerate the virality of a content. As of now, the cost of native advertisement represents a high entrance barrier for potential customers of advertisement hosts. In this paper, we argue that cooperative schemes can lower this entrance barrier. In fact, when different content...
Social media has become an important information source with the expanding internet and ideas shared by the people. The social media raw data which is quite disordered and messy can not be processed as it is and obtain adequate results. In this study, sentiment analysis has been performed by collecting data from the Twitter. To perform this analysis an intelligent system has been created by using...
The configuration of smart homes represents a difficult task for end-users. We propose a goal-driven approach to this challenge, where users express their needs using a graphical configuration environment. Our system then uses semantic descriptions of devices in the user's surroundings to derive a plan to reach the desired situation. We are able to satisfy complex demands using only first-order logic,...
Current ICN research favors a key-value-store view of the network, where location agnostic names typically resolve to documents, data blocks or sensor values. We believe that names should not only refer to data but also to functions and computation tasks. In Named Function Networking (NFN) the network's role becomes to resolve names to computations, par example by reducing λ-expressions. In doing...
Education is one of the important things in the children life, without exception for special need children. Mental retardation is a part of them, who often encountered some constraints in learning process due to their limitations. One of the obstacles encountered is to understand the learning material. In this research, it started from a believe that learn with interesting learning media through utilizing...
This paper will show how machine learning and data visualization techniques are being used to execute real television ad buys. We present an innovative data visualization tool which allows users to filter, histogram, and sort so as to identify the television inventory with highest value per dollar. Using the application users have been able to identify media that performs 50% better than previous...
We consider the problem of distributing media files for streaming on a distributed storage network, where servers have heterogeneous capacities and bandwidths. Regarding networking the servers' bandwidths are the bottlenecks for streaming. We present an algorithm that computes an assignment of n files to m servers for distributing media files such that the streaming speed requirements and capacity...
Understanding customers' opinion and subjectivity is regarded as an important task in various domains (e.g., marketing). Particularly, with many types of social media (e.g., Twitter and FaceBook), such opinions are propagated to other users and might make a significant influence on them. In this paper, we propose a fuzzy propagation modeling for opinion mining by sentiment analysis of online social...
People express their opinion about many things like products, political parties, ideas using the facilities of social media. The analysis of these opinions is a gold mine for marketing experts and for humanities research as well. We introduce a system for opinion mining from the textual content of tweets and discuss the differences between tweet-level and target-oriented opinion mining.
Integrated Digital Assistant (IDA) is a system designed to be a "personal secretary" who worked in full for the user. IDA will be active when the user is relaxing at home, office activities and even while traveling or outside activities. IDA works to minimize the interaction between user and system. The system will be able to find out information from the outside that is needed by users...
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