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» LARS: A Location-Aware Recommender System
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PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 5 months ago
Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems
The advent of the Semantic Web necessitates paradigm shifts away from centralized client/server architectures towards decentralization and peer-to-peer computation, making the exi...
Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nico...
SAC
2008
ACM
13 years 5 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
RECSYS
2010
ACM
13 years 6 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. ...
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 3 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...