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In this paper we present an exploratory smartphone usage study with logs collected from users in the wild, combined with the sociodemographic, technological and cultural information provided by them. We observe a high diversity among users' most used applications, but by classifying applications into services we find significant correlations between service usage and socio-demographic profile. We...
This research aims to mitigate the inhibiting factors that prevent faculty and students from excelling in their roles in engineering education. The approach focuses on the identification and subsequent usage of “prior knowledge” one accumulates perpetually with the passage of time. The approach is expected to help students and faculty alike to share their under-utilized knowledge bank in a structured...
When using Information Retrieval (IR) systems, users often present search queries made of ad-hoc keywords. It is then up to the information retrieval systems (IRS) to obtain a precise representation of the user's information need and the context (preferences) of the information. To address this problem, we investigate optimization of IRS to individual information needs in order of relevance. The goal...
Online review is becoming more popular among the public when considering the purchase of a product or service. This also applies in tourism industry when potential tourists were making decisions about travel destination. This research aims to identify online review elements/features that will affect readers' intention to travel. Hence, the model was designed by categorized online review characteristics...
The extensive diffusion of social media innovation has dramatically transformed traditional media content creation and dissemination with the effect of creating more user awareness. Citizens are increasingly becoming integral part of media content creation and dissemination and thus empowering citizens in the exercise of their informational self-determination. Ironically, in spite of the progress...
In this paper we aim at understanding if and how, by analysing people's profile and historical data (such as data available on Facebook profiles and interactions, or collected explicitly) we can motivate two persons to interact and eventually create long-term bonds. We do this by exploring the relationship between connectedness, social interactions and common life points on Facebook. The results are...
In the context of swift development of P2P e-commerce, it is critical to defending both customers and sellers from being victimized by probable deception stemming from uncertainties, vagueness and ambiguities that characterize the interactions amongst unfamiliar dealers. Accordingly, credit standing concerning each business partaker plays a decisive part in preventing fraud in P2P transactions and...
By weighing data extracted during the 2016 municipal election in Costa Rica from local-level political parties' Facebook pages the research elaborates an analysis based on the mobilization — normalization theses. From that perspective, the paper identifies the traits that characterize each party's communicational emphasis, specifically on whether such sites promote or limit deliberative behaviors...
The phenomenon of the use of Information Technology in the election process is rapidly gaining momentum. This advancement referred to as e-voting offers advantages than the paper-based voting system. The field of e-voting and especially m-voting is mostly an undiscovered sphere and its true extensity is still mostly uncharted. Very few countries have successfully implemented m-voting and diminutive...
Cyber has been on NATO’s agenda since 2002, with clear mandates and taskings from Summits and Ministerials on how to develop its capacity in the area. Yet, despite an increasingly cyber-dependent world and visible progress on the Alliance’s civilian side, NATO has had no visible track record on how this change in the way the world does business has had an impact on its key military structure and enabler...
FAQs are the lists of common questions and answers on particular topics. Today one can find them in almost all web sites on the internet and they can be a great tool to give information to the users. Questions in FAQs are usually identified by the site administrators on the basis of the questions that are asked by their users. While such questions can respond to required information about a service,...
This paper addresses the task of assigning multiple labels of fine-grained named entity (NE) types to Wikipedia articles. To address the sparseness of the input feature space, which is salient particularly in fine-grained type classification, we propose to learn article vectors (i.e. entity embeddings) from hypertext structure of Wikipedia using a Skip-gram model and incorporate them into the input...
Synonym-based searching is considered to be a complicated problem, as text mining from unstructured data of web is challenging. Finding useful information which matches user need from the bulk of web pages is a cumbersome task. In this paper, a novel and practical synonym retrieval technique is proposed for addressing this problem. For replacement of semantics, user intent is taken into consideration...
The digital identity is the representation of an active entity (Person, actor), it's used by most systems to allow access to resources. When users are involved in many domains they should hardly remember a lot of authentication criterions for every access. They exist many identity management systems that aim to solve the issues in relation with digital identity. However, the problem of identification...
Due to the exponential growth of internet using, the habits of internet users have changed. This generate huge amount of data. It becomes important to explore this mine of knowledge and take advance on concurrent. In context of digital marketing, the user's data is the enterprise assets to personalize the content of websites and establish contact and communication with customers through internet channels...
Social networks enable knowledge sharing that inevitably begs the question of expertise analysis. Many online profiles claim expertise, but possessing true expertise is rare. We characterize expertise as projected expertise (claims of a person), perceived expertise (how the crowd perceives the individual) and true expertise (factual). StockTwits, an investor-focused microblogging platform, allows...
We study the relationship between personalization and individual privacy on the customer's online buying behavior. Following a laboratory experiment we tested the differences for number of clicks and number of products added to cart with respect to two factors-personalization and product privacy. Our results show significant mean differences with respect to clicks and number of products added to the...
The emerging markets are experiencing high growths, have massive and still expanding market sizes, and huge labor forces, but they also face significant constraints such as resource constraints, immature infrastructures, and low purchasing power. The internal gap between huge unsatisfied demands for low-cost products from the bottom of the pyramid and the weak economic foundation in emerging markets...
Due to rapid urbanization, the concept of smart cities is becoming increasingly popular. Smart city projects aim to improve the living conditions for the society at large, thereby creating sustainable, long term benefits. But, do smart cities aid in the development of knowledge societies? Or, are knowledge societies the necessary perquisites to smart cities? Can a causal relationship be established...
Since the inception of the World Wide Web, security agencies, researchers, and analysts have focused much of their attention on the sentiment found on hate-inspired web-forums. Here, one of their goals has been to detect and measure users' affects that are expressed in the forums as well as identify how users' affects change over time. Manual inspection has been one way to do this; however, as the...
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