Sciweavers

1617 search results - page 92 / 324
» Buzz-based recommender system
Sort
View
IIR
2010
13 years 10 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
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 10 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
KBSE
2009
IEEE
14 years 3 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...
HICSS
2006
IEEE
108views Biometrics» more  HICSS 2006»
14 years 3 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 ...
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
14 years 1 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...