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RECSYS
2009
ACM
16 years 14 hour ago
Increasing engagement through early recommender intervention
Social network sites rely on the contributions of their members to create a lively and enjoyable space. Recent research has focused on using personalization and recommender techno...
Jill Freyne, Michal Jacovi, Ido Guy, Werner Geyer
ITRUST
2004
Springer
15 years 11 months ago
Analyzing Correlation between Trust and User Similarity in Online Communities
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios su...
Cai-Nicolas Ziegler, Georg Lausen
CAISE
2006
Springer
15 years 9 months ago
Controlling the Level of Business Process Instance Flexibility via Rules of Planning
When an organization decides on the level of flexibility in handling business process instances, it needs to impose this level in operational practice. The way of imposing a given ...
Ilia Bider, Alexey Striy
IIR
2010
15 years 7 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
KBSE
2009
IEEE
16 years 7 days ago
Automatically Recommending Triage Decisions for Pragmatic Reuse Tasks
—Planning a complex software modification task imposes a high cognitive burden on developers, who must juggle navigating the software, understanding what they see with respect t...
Reid Holmes, Tristan Ratchford, Martin P. Robillar...