Search results for "Network"
showing 10 items of 7718 documents
Cross-Social Network Collaborative Recommendation
2015
Online social networks have become an essential part of our daily life, and an increasing number of users are using multiple online social networks simultaneously. We hypothesize that the integration of data from multiple social networks could boost the performance of recommender systems. In our study, we perform cross-social network collaborative recommendation and show that fusing multi-source data enables us to achieve higher recommendation performance as compared to various single-source baselines.
Tracing Potential School Shooters in the Digital Sphere
2010
There are over 300 known school shooting cases in the world and over ten known cases where the perpetrator(s) have been prohibited to perform the attack at the last moment or earlier. Interesting from our point of view is that in many cases the perpetrators have expressed their views in social media or on their web page well in advance, and often also left suicide messages in blogs and other forums before their attack, along the planned date and place. This has become more common towards the end of this decennium. In some cases this has made it possible to prevent the attack. In this paper we will look at the possibilities to find commonalities of the perpetrators, beyond the fact that they…
The Footprints of a “Mastodon”: How a Decentralized Architecture Influences Online Social Relationships
2019
Decentralized online social networks (DOSNs) have recently emerged as a viable solution to preserve the users' privacy and ensure higher users' control over the contents they publish. However, little is known about the backlashes that the decentralized organization and management of these platforms may have on the overlaid social network. This paper fills the gap. Specifically, we investigate how a decentralized architecture based on distributed servers impacts the structure of the users' neighborhood and their ego-networks. Our analysis relies on social data gathered from the decentralized micro-blogging platform Mastodon, the newest and fastest-growing decentralized alternative to Twitter…
You’ve Got Photos! The design and evaluation of a location-based media-sharing application
2008
PhotoJournal is a novel location-based media sharing appli- cation that enables users to build interactive journals that associate multimedia files with locations on maps and share this information with other users. Its underlying informa- tion discovery and sharing mechanism is 7DS that runs in either pure peer-to-peer or centralized server-to-client mode, depending on the availability of a server and/or an infras- tructure. 7DS-enabled devices act as miniature caches, shar- ing information with each other. When access to an informa- tion server (e.g., web server) is not available, the local 7DS instance running on the device enables the device to search and access information from other p…
Progressive Web Apps: The Possible Web-native Unifier for Mobile Development
2017
LocalRec 2019 workshop report: The Third ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising
2020
The amount of publicly available geo-referenced data has seen a dramatic explosion over the past few years. Many user activities generate data that are annotated with location and contextual information. Furthermore, it has become easier to collect and combine rich and diverse location information. In the context of geoadvertising, the use of geosocial data for targeted marketing is receiving significant attention from a wide spectrum of companies and organizations. With the advent of smartphones and online social networks, a multi-billion dollar industry that utilizes geosocial data for advertising and marketing has emerged. Geotagged social-media posts, GPS traces, data from cellular ante…
Writer identification for historical handwritten documents using a single feature extraction method
2020
International audience; With the growth of artificial intelligence techniques the problem of writer identification from historical documents has gained increased interest. It consists on knowing the identity of writers of these documents. This paper introduces our baseline system for writer identification, tested on a large dataset of latin historical manuscripts used in the ICDAR 2019 competition. The proposed system yielded the best results using Scale Invariant Feature Transform (SIFT) as a single feature extraction method, without any preprocessing stage. The system was compared against four teams who participated in the competition with different feature extraction methods: SRS-LBP, SI…
Las redes sociales y la innovación educativa. La experiencia del Geoforo. Balance anual de 2012
2012
El aumento de la participación en los foros ha facilitado el intercambio de opiniones y argumentos sobre la innovación educativa. Podemos definir este momento como la creación de una red social con intereses profesionales coincidentes: la mejora del aprendizaje de los hechos sociales, en especial los que tienen una característica geográfica. Los datos que se aportan en este balance anual nos indican que se está asentando el Geoforo allí donde hay grupos locales, lo que nos confirma que este blog es una red de redes.
The social perspective of the main MOOC platforms through Facebook
2017
Facebook, como red social, ofrece un medio potente de comunicación social a través de la Red, conectando usuarios con intereses comunes. En este estudio se analizan las cuentas de Facebook de 7 de las principales plataformas de MOOC: Coursera, EdX, Future Learn, Harvard Extension, Miríada X, Stanford Online y Udacity, con el fin de describir el modo en que estas emplean sus cuentas de Facebook como espacio digital de comunicación, información e interacción social con sus usuarios. Para ello, se han utilizado herramientas de medición online sobre el crecimiento y la visibilidad de las cuentas, el contenido publicado y la interactividad con los seguidores. Los resultados evidencian que el núm…
Hardware Computation of Moment Functions in a Silicon Retina Using Binary Patterns
2006
International audience; We present in this paper a method for implementing moment functions in a CMOS retina for shape recognition applications. The method is based on the use of binary patterns and it allows the computation of different moment functions such geometric and Zernike moments of any orders by an adequate choice of the binary patterns. The advantages of the method over other methods described in the literature is that it is particularly suitable for the design of a programmable retina circuit where moment functions of different orders are obtained by simply loading the correct binary patterns into the memory devices implemented on the circuit. The moment values computed by the m…