The MyMedia toolkit is an extensible software framework for multimedia recommendation, incorporating cutting edge recommender algorithms and metadata enrichment. This C# developed research project makes it easier to study, develop and deploy personalization technology.

COW is a semantic wiki using KAON as backend that supports collaborative evolution of ontologies by means of versioning, transactions, and management of simultaneous modifications. In wiki pages, ontology information can be used to render dynamic content as well as answer user queries.

CariBo is a collaborative bookmark classifier, realized as a plugin for the Open Source bookmark server "SiteBar". It is intended to support the evolution of stable and well-organized bookmark repositories (on a central server) by recommending a folder where to store a new bookmark as well as suggesting keywords for annotation.

The Frequent Itemset Mining Algorithms Template Library contains the three main algorithms for this problem, Apriori, Eclat, and Fp-Growth in C++ using generic programming for optimizing speed. For each base algorithm, many algorithmic features are available for configuration, covering a large number of variants.

SWARMIX is a simulation framework for evaluation of recommender systems in peer-to-peer scenarios. Especially, it implements the SWARMIX distributed architecture.

The Generic Recommender Systems Platform is a component-based architecture and reference implementation of a platform for personalized recommender systems that enables the easy set up of a web-based information system for browsing, searching, and rating items organized in a taxonomy as well as getting collaborative recommendations.

RelEns is a java tool for classifying instances by using the relations to other instances (i.e. the classes of neighbors) and combining results of different relations with ensemble classification methods. The instances could be time series or of any other type.