Sciweavers

RECSYS
2010
ACM
13 years 4 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
RECSYS
2010
ACM
13 years 4 months ago
Interactive recommendations in social endorsement networks
An increasing number of social networking platforms are giving users the option to endorse entities that they find appealing, such as videos, photos, or even other users. We defin...
Theodoros Lappas, Dimitrios Gunopulos
RECSYS
2010
ACM
13 years 4 months ago
Eye-tracking product recommenders' usage
Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However...
Sylvain Castagnos, Nicolas Jones, Pearl Pu
RECSYS
2010
ACM
13 years 4 months ago
Automatically building research reading lists
Michael D. Ekstrand, Praveen Kannan, James A. Stem...
RECSYS
2010
ACM
13 years 4 months ago
Content-based recommendation in social tagging systems
We present and evaluate various content-based recommendation models that make use of user and item profiles defined in terms of weighted lists of social tags. The studied approach...
Iván Cantador, Alejandro Bellogín, D...
RECSYS
2010
ACM
13 years 4 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
RECSYS
2010
ACM
13 years 4 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
RECSYS
2010
ACM
13 years 4 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
RECSYS
2010
ACM
13 years 4 months ago
Beyond accuracy: evaluating recommender systems by coverage and serendipity
When we evaluate the quality of recommender systems (RS), most approaches only focus on the predictive accuracy of these systems. Recent works suggest that beyond accuracy there i...
Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Janna...
RECSYS
2010
ACM
13 years 4 months ago
Workshop on user-centric evaluation of recommender systems and their interfaces
In this paper, we aim to analyse the current level of usability on ten popular online websites utilising some kind of reputation system. The conducted heuristic and expert evaluat...
Bart P. Knijnenburg, Lars Schmidt-Thieme, Dirk G. ...