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» Introduction to recommender systems
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CAISE
2006
Springer
15 years 2 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
87
Voted
IIR
2010
14 years 11 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
98
Voted
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
14 years 11 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
75
Voted
KBSE
2009
IEEE
15 years 5 months 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...
86
Voted
HICSS
2006
IEEE
108views Biometrics» more  HICSS 2006»
15 years 4 months ago
Matching People and Jobs: A Bilateral Recommendation Approach
Recommendation systems are widely used on the Internet to assist customers in finding the products or services that best fit with their individual preferences. While current imple...
Jochen Malinowski, Tobias Keim, Oliver Wendt, Tim ...