Semantic Recommendations based on Large Unstructured Datasets
Revision as of 11:44, 9 January 2012 by Alan (talk | contribs) (Created page with "'''Semantic Recommendations based on Large Unstructured Datasets''' ('''SERUM''') is a project at Berlin Institute of Technology (TU-Berlin) funded by the German Federal Mini...")
Semantic Recommendations based on Large Unstructured Datasets (SERUM) is a project at Berlin Institute of Technology (TU-Berlin) funded by the German Federal Ministry of Economics and Technology.
From the project's website:
SERUM establishes the basis for a semantic recommender system that calculates high quality recommendations based on a semantic analysis of user behavior and news articles. The aim of the project is to develop a recommender system that computes different types of recommendations independent of a specific use case or domain. The recommendations are personalized and adapted to the specific needs of a user based on a representation of personal interests and preferences.
The partners involved are:
