The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Stance detection, which focuses on users' deep attitudes, is an important way to understand the online public opinion. This paper presents an overview of stance detection. First, we present a general framework for stance detection, and the main steps of the framework are introduced in detail. The state‐of‐the‐art stance detection methods are categorized into three classes: feature‐based methods, deep...
The use of social media (SM) is prevalent not only in private, but also in professional areas, and its overall involvement in our lives has grown immensely over the past decade. According to Bishop (2018), this is a phenomenon unlike anything seen throughout history. Previous studies on SM have analysed this subject unilaterally – giving greater emphasis to the positive or negative impact on its users...
Ad networks use the behaviors of online users to associate them with preferences (features), and market these features to enable advertisers to target online users. Typical features associated with users include location, interests, gender, age, and etc. Furthemore, ad networks provide their clients with campaing creation tools to help to them to configure and run campains. In this paper, we study...
In order to circumvent the adverse effect of fraudulent acts committed on the internet by adversaries, different researchers have proposed various solution to this problem. One of this online fraudulent act is website phishing. Website phishing is the act of luring unsuspecting online users into divulging private and confidential information which can be used by the phisher in fraud, blackmail or...
In the peer-to-peer based video-on-demand systems, when the number of users online reaches a certain scale, It will greatly influence the bandwidth and the speed of response server when the number of online users reaches a certain scale. At the same time, there are so many video resources and sometimes the base number of users can not fully meet the number of P2P users that a lot of video resources...
Data mining algorithms have been proved to be useful for the processing of large data sets in order to extract relevant information and knowledge. Such algorithms are also important for analyzing data collected from the users' activity users. One family of such data analysis is that of mining of log files of online applications that register the actions of online users during long periods of time...
With the rapid growth of the World Wide Web (WWW), finding useful information from the Internet has become a critical issue. Web recommender systems help users make decisions in this complex information space where the volume of information available to them is huge. Recently, a number of web page recommender systems have been developed to anticipate the information needs of on-line users and provide...
Conversational Recommender Systems (CRSs) are intelligent E-commerce applications that interactively assist online users by following a default recommendation strategy. Typically, the strategy remains hard-coded during the interaction, thus making it impossible for CRSs to adapt to the dynamic user needs. In a previous paper, we have proposed and validated a novel technology that allows CRSs to autonomously...
Most live e-Learning systems achieve interactivity and collaboration between online users through audio, video and chat. In this paper we present a system which enhances the current e-Learning methods by the use of collaborative 2D animations. It aids in providing live conceptual and laboratory experience to the student. Collaborative 2D animations are particularly useful for explaining concepts and...
It has become apparent to researchers that traditional approaches are not sufficient to foster trust for today's pervasive online businesses. Individuals and businesses are adopting e-commerce as means of resources, improvements and generating revenue. As online transaction increase, it is important to understand why users still reserved on conducting business online. This research aims to overcome...
In the literature, long-term user models are used to provide personalized interactions in ecommerce web sites. The growing numbers of online users and massive number of different products, demand not only user models, but also well-organized product information in order to find the products that an individual may like. Although such knowledge engineering is a time consuming task, its reusability reduces...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.