18,853 research outputs found

    Towards evaluation of personalized and collaborative information retrieval

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    We propose to extend standard information retrieval (IR) ad-hoc test collection design to facilitate research on personalized and collaborative IR by gathering additional meta-information during the topic (query) development process. We propose a controlled query generation process with activity logging for each topic developer. The standard ad-hoc collection will thus be accompanied by a new set of thematically related topics and the associated log information, and has the potential to simulate a real-world search scenario to encourage retrieval systems to mine user information from the logs to improve IR effectiveness. The proposed methodology described in this paper will be applied in a pilot task which is scheduled to run in the FIRE 2011 evaluation campaign. The task aims at investigating the research question of whether personalized and collaborative IR retrieval experiments and evaluation can be pursued by enriching a standard ad-hoc collection with such meta-information

    CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

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    Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

    Exploring the eco-attitudes and buying behaviour of Facebook users

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    Eco-friendly consumers’ attitudes are becoming increasingly frequent, recent research indicating that pro-environmental purchase behaviour not only lower costs on the long term, but also enhance business stakeholders’ and consumers’ confidence in high added value products and services. This paper undertakes an interdisciplinary research on how social media (i.e. Facebook) can influence users’ perceptions and buying behaviour related to five categories of ecological products and services (eco-food, eco-tourism, eco-housing, eco-textiles and eco-beauty & cosmetics). This research investigates how ecological products and services could gain popularity and overpass the identified purchasing barriers (e.g. high prices, low awareness, low availability) via superior integration in consumers’ daily experiences with Facebook. The research findings indicate that Facebook represents an effective and innovative environment that could build the necessary links between green attitudes and consumers’ hearts and minds

    Evaluation of social personalized adaptive E-Learning environments : end-user point of view

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    The use of adaptations, along with the social affordances of collaboration and networking, carries a great potential for improving e-learning experiences. However, the review of the previous work indicates current e-learning systems have only marginally explored the integration of social features and adaptation techniques. The overall aim of this research, therefore, is to address this gap by evaluating a system developed to foster social personalized adaptive e-learning experiences. We have developed our first prototype system, Topolor, based on the concepts of Adaptive Educational Hypermedia and Social E-Learning. We have also conducted an experimental case study for the evaluation of the prototype system from different perspectives. The results show a considerably high satisfaction of the end users. This paper reports the evaluation results from end user point of view, and generalizes our method to a component-based evaluation framework

    Exploring the Eco-attitudes and Buying Behaviour of Facebook Users

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    Eco-friendly consumers’ attitudes are becoming increasingly frequent, recent research indicating that pro-environmental purchase behaviour not only lower costs on the long term, but also enhance business stakeholders’ and consumers’ confidence in high added value products and services. This paper undertakes an interdisciplinary research on how social media (i.e. Facebook) can influence users’ perceptions and buying behaviour related to five categories of ecological products and services (eco-food, eco-tourism, eco-housing, eco-textiles and eco-beauty & cosmetics). This research investigates how ecological products and services could gain popularity and overpass the identified purchasing barriers (e.g. high prices, low awareness, low availability) via superior integration in consumers’ daily experiences with Facebook. The research findings indicate that Facebook represents an effective and innovative environment that could build the necessary links between green attitudes and consumers’ hearts and minds.ecological products & services, Facebook, green attitudes, buying behaviour, eco-food, eco-tourism

    The Dark Side(-Channel) of Mobile Devices: A Survey on Network Traffic Analysis

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    In recent years, mobile devices (e.g., smartphones and tablets) have met an increasing commercial success and have become a fundamental element of the everyday life for billions of people all around the world. Mobile devices are used not only for traditional communication activities (e.g., voice calls and messages) but also for more advanced tasks made possible by an enormous amount of multi-purpose applications (e.g., finance, gaming, and shopping). As a result, those devices generate a significant network traffic (a consistent part of the overall Internet traffic). For this reason, the research community has been investigating security and privacy issues that are related to the network traffic generated by mobile devices, which could be analyzed to obtain information useful for a variety of goals (ranging from device security and network optimization, to fine-grained user profiling). In this paper, we review the works that contributed to the state of the art of network traffic analysis targeting mobile devices. In particular, we present a systematic classification of the works in the literature according to three criteria: (i) the goal of the analysis; (ii) the point where the network traffic is captured; and (iii) the targeted mobile platforms. In this survey, we consider points of capturing such as Wi-Fi Access Points, software simulation, and inside real mobile devices or emulators. For the surveyed works, we review and compare analysis techniques, validation methods, and achieved results. We also discuss possible countermeasures, challenges and possible directions for future research on mobile traffic analysis and other emerging domains (e.g., Internet of Things). We believe our survey will be a reference work for researchers and practitioners in this research field.Comment: 55 page
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