RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
When a new user registers to a recommender system service, the system does not know her taste and cannot propose meaningful suggestions (cold-start problem). This preliminary work...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
One of the most important steps in building a recommender system is the interaction design process, which defines how the recommender system interacts with a user. It also shapes...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
This paper presents a formative evaluation of an interface for inspecting microblog content. This novel interface introduces filters by communities, and network structure, as wel...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
Our research is focused on interpreting user preference from his/her implicit behavior. There are many types of relevant behavior e.g. time on page, scrolling, clickstream etc. wh...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
As the amount of recorded digital information increases, there is a growing need for flexible recommender systems which can incorporate richly structured data sources to improve ...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
CiteSeerx is a digital library for scientific publications written by Computer Science researchers. Users are able to retrieve relevant documents from the database by searching b...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...