Publications of the Faculty of Computer Science
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Editorship - Computer Science
Journal issues or miscellanies edited by researchers of the Free University of Bozen-Bolzano -
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Recent Submissions
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xStreams: Recommending items to users with time-evolving preferences
(Association for Computing Machinery, 2014)Over the last decade a vast number of businesses have developed online e-shops in the web. These online stores are supported by sophisticated systems that manage the products and record the activity of customers. There ... -
Multi-modal matrix factorization with side information for recommending massive open online courses
(2019)Massive open online courses (MOOCs) have recently gained a huge users’ attention on the Web. They are considered as a highly promising form of teaching from leading universities such as Stanford and Berkeley. However, users ... -
Scalable link prediction in social networks based on local graph characteristics
(IEEE, 2012)Online social networks (OSNs) like Face book, My space, and Hi5 have become popular, because they allow users to easily share content or expand their social circle. OSNs recommend new friends to registered users based on ... -
Transitive node similarity for link prediction in social networks with positive and negative links
(ACM, 2010)Online social networks (OSNs) like Facebook, and Myspace recommend new friends to registered users based on local features of the graph (i.e. based on the number of common friends that two users share). However, OSNs do ... -
A unified framework for providing recommendations in social tagging systems based on ternary semantic analysis
(2010)Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, Web links, products, etc.). Social tagging systems (STSs) can provide three different ... -
Text classification by aggregation of SVD eigenvectors
(Springer, 2012)Text classification is a process where documents are categorized usually by topic, place, readability easiness, etc. For text classification by topic, a well-known method is Singular Value Decomposition. For text classification ... -
User recommendations based on tensor dimensionality reduction
(Springer, 2009)Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging systems (STSs) can recommend users with ... -
Recommending friends and locations over a heterogeneous spatio-temporal graph
(Springer Verlag, 2015)Recommender systems in location-based social networks (LBSNs), such as Facebook Places and Foursquare, have focused on recommending friends or locations to registered users by combining information derived from explicit ... -
Transitive node similarity: Predicting and recommending links in signed social networks
(Springer New York LLC, 2014)Online social networks (OSNs) like Facebook, Myspace, and Hi5 have become popular, because they allow users to easily share content. OSNs recommend new friends to registered users based on local features of the graph (i.e., ... -
Multiway spectral clustering link prediction in protein-protein interaction networks
(IEEE, 2010)An increasing number of observations support the hypothesis that the vast majority of biological functions involve interactions between proteins and that the complexity of living systems arises as a result of such interactions. ... -
Matrix and Tensor Factorization with Recommender System Applications
(Chapman and Hall/CRC, 2015)Graphs provide an intuitive way of representing connected or interacting entities [GY99]. One can very easily model and study various real-life and scientific structures using graphs, e.g., web pages linking to each other ... -
A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs
(IEEE Computer Society, 2016)Recently, location-based social networks (LBSNs) gave the opportunity to users to share geo-tagged information along with photos, videos, and SMSs. Recommender systems can exploit this geographic information to provide ... -
Content-based dimensionality reduction for recommender systems
(Springer, 2008)Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommendation technique, which is based on past ... -
Recommendations based on a heterogeneous spatio-temporal social network
(2017)Recommender systems in location-based social networks (LBSNs), such as Facebook Places and Foursquare, have focused on recommending friends or locations to registered users by combining information derived from explicit ... -
Providing justifications in recommender systems
(2008)Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload"problem. Providing justification to a recommendation gives credibility to a recommender system. Some ... -
CheckInShop. eu: A Sensor-based Recommender System for micro-location Marketing
(ACM Digital Library, 2017)CheckInShop is an app that employs sensors to capture the user preferences in physical stores and provide either micro-location marketing or product recommendations. By utilizing iBeacon technology and with the exploitation ... -
Recommender systems for location-based social networks
(Springer New York, 2014)Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, ... -
Collaborative recommender systems: Combining effectiveness and efficiency
(2008)Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendation technique that confronts the "information ... -
A generalized taxonomy of explanations styles for traditional and social recommender systems
(Kluwer Academic Publishers, 2012)Recommender systems usually provide explanations of their recommendations to better help users to choose products, activities or even friends. Up until now, the type of an explanation style was considered in accordance to ... -
GeoSocialRec: Explaining recommendations in location-based social networks
(Springer, 2013)Social networks have evolved with the combination of geographical data, into location-based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate with each other, but also to share images, ...
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