Sciweavers

RECSYS
2015
ACM
8 years 5 months ago
Recommending Fair Payments for Large-Scale Social Ridesharing
We perform recommendations for the Social Ridesharing scenario, in which a set of commuters, connected through a social network, arrange one-time rides at short notice. In particu...
Filippo Bistaffa, Alessandro Filippo, Georgios Cha...
RECSYS
2015
ACM
8 years 5 months ago
FutureView: Enhancing Exploratory Image Search
Search algorithms in image retrieval tend to focus on giving the user more and more similar images based on queries that the user has to explicitly formulate. Implicitly, such sys...
Sayantan Hore, Dorota Glowacka, Ilkka Kosunen, Kum...
RECSYS
2015
ACM
8 years 5 months ago
LocalRec'15: Workshop on Location-Aware Recommendations
The amount of available geo-referenced data has seen a dramatic explosion over the past few years. Human activities now generate digital traces that are annotated with location da...
Panagiotis Bouros, Neal Lathia, Matthias Renz, Fra...
RECSYS
2015
ACM
8 years 5 months ago
Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems
Context-Aware Recommender System (CARS) models are trained on datasets of context-dependent user preferences (ratings and context information). Since the number of context-depende...
Matthias Braunhofer, Ignacio Fernández-Tob&...
RECSYS
2015
ACM
8 years 5 months ago
Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' Ratings
In social recomendation systems, users often publicly rate objects such as photos, news articles or consumer products. When they appear in aggregate, these ratings carry social si...
Oded Nov, Ofer Arazy
RECSYS
2015
ACM
8 years 5 months ago
Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems
In this paper we compare several techniques to automatically feed a graph-based recommender system with features extracted from the Linked Open Data (LOD) cloud. Specifically, we...
Cataldo Musto, Pierpaolo Basile, Marco de Gemmis, ...
RECSYS
2015
ACM
8 years 5 months ago
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation
This work presents an empirical comparison among three widespread word embedding techniques as Latent Semantic Indexing, Random Indexing and the more recent Word2Vec. Specificall...
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis,...
RECSYS
2015
ACM
8 years 5 months ago
Top-N Recommendation with Missing Implicit Feedback
In implicit feedback datasets, non-interaction of a user with an item does not necessarily indicate that an item is irrelevant for the user. Thus, evaluation measures computed on ...
Daryl Lim, Julian McAuley, Gert R. G. Lanckriet
RECSYS
2015
ACM
8 years 5 months ago
Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics
We investigate how metrics that can be measured offline can be used to predict the online performance of recommender systems, thus avoiding costly A-B testing. In addition to accu...
Andrii Maksai, Florent Garcin, Boi Faltings
RECSYS
2015
ACM
8 years 5 months ago
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning
Compact representation is a key issue for effective information delivery to users in mobile content-providing services. In particular, it is more severe when providing text docume...
Jung-Woo Ha, Dongyeop Kang, Hyuna Pyo, Jeonghee Ki...