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With the popularity of mobile devices, personalized speech recognizers have become more attainable and are highly attractive. Since each mobile device is used primarily by a single user, it is possible to have a personalized recognizer that well matches the characteristics of the individual user. Although acoustic model personalization has been investigated for decades, much less work has been reported...
With the rapid rise in social network users during recent years, social network is changing business models in the China's Internet industry. Social network produces large amounts of data that reflect the real world, so we can make conclusions about financial incidents by monitoring people's interests in social network and analyzing investors' feelings based on the data. To obtain the data from financial...
Online Social Media (OSM) platforms, such as Facebook or Twitter, are part of everyday life as powerful communication tools. They let users communicate anywhereanytime, and improve their own public image. For this reason, OSM are becoming more and more popular. Social Media data may play a crucial role in various decision-making processes. In this setting, research topics connected to monitoring of...
Social network contains large amounts of user interests and preferences which may therefore help improve techniques for information retrieval, such as user profile construction and query expansion. By the manual annotation, we find that query intention normally consists of several retrieval behaviors and a certain number of social network behaviors. This paper argues that a user's query intention...
Recommender systems have been widely used in social network sites. In this paper, we propose a novel approach to recommend new followees to Twitter users by learning their historic friends-adding patterns. Based on a user's past social graph and her interactions with other users, scores based on some of the commonly used recommendation strategies are calculated and passed into the learning machine...
Social network has become a very popular way for internet users to communicate and interact online. Users spend a great deal of time on famous social networks (e.g. Facebook, Twitter, Sina Weibo, etc.), reading news, discussing events and posting their messages. Unfortunately, this popularity also attracts a significant amount of spammers who continuously expose malicious behaviors (e.g. Post messages...
Social network like a corpus with valuable data, has attracted much attention from a various fields of researchers in recent years, especially in the subject of big data analytics. However, as the foundation, the part of efficient and accurate data collection has not been focused much in the past published works. During the data among the web increasing rapidly, this article will identify two major...
Recently, the prosperity of social network nourished web services such as virtual community and web community. With the readily available social networking sites and the accessible internet, the interaction between people has become much frequently than before. Therefore, this research aims to provide assist to social networking sites by collecting and analyzing the enormous data on these sites. Currently...
Bittorrent is one of the most popular file sharing applications on the Internet. It is well-known that its success mainly depends on its user cooperation. Systems with a small number of altruist users or without incentive mechanisms are fated to failure. This paper discusses the influence of Facebook on Bittorrent swarms. We analyze data from more than 16,600 Bittorrent swarms disseminated by Facebook...
Social networks based on free plus premium (Freemium) business model offer basic services for free, while charging premium for advanced features with added value to a small subset of users. While a large loyal user base is indispensable, social connections and interactions with people paying for premium services may, to a great extent, influence the probability of free users to become pay users. We...
Private attributes of Online Social Network (OSN) users can be inferred from other information (which is usually from users' friends and group information). To address this, social networking sites allow users to hide their friend lists and group lists, so that general public cannot see them. However, if a user doesn't make his friend list public, but his friends have public friend list where we can...
Microblogging is one of the most popular on-line social services by which people can share information and communicate with others. In the paper, it is proved that in a microblogging's social network, there exists small-world, scale-free and high clustering coefficient characteristics, which are three main properties of complex network. It means that microblogging's social network is a complex network...
Within this paper we introduce a framework for semi- to full-automatic discovery and acquisition of bag-of-words style interest profiles from openly accessible Social Web communities. To do such, we construct a semantic taxonomy search tree from target domain (domain towards which we're acquiring profiles for), starting with generic concepts at root down to specific-level instances at leaves, then...
Uniform Resource Locator (URL) ordering algorithms are used by Web crawlers to determine the order in which to download pages from the Web. The current approaches for URL ordering based on link structure are expensive and/or miss many good pages, particularly in social network environments. In this paper, we present a novel URL ordering algorithm that exploits the access count information present...
Existing search engines like Google, Yahoo!, Live etc. are not yet capable to answer queries that require deep semantic understanding of the query or the document. Instead, it is preferable to find and ask someone who has related expertise or experience on a topic and thus Web-based online communities have become important places for people to seek and share expertise. We need to gather the data that...
This paper describes about the optimization of the e-business social network visualization after the searching process. Basically, we found that the current e-business web pages having a low quality of connection between each other. It means that the current search engines are not able to search the relevant result and to show the connections between each Web page and how they are related with each...
Data mediation and interoperation have already become one of the central topics of IT for decades. Since the Web appears, this problem has been exploded due to the increasing amount of data and Web users. This paper takes look at the social tagging behavior. It proposes upper tag ontology (UTO) to model tag data from three popular social tagging networks (del.icio.us, youTube, flickr). In this paper,...
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