Algorithms

Apart from purely editorial and statistical recommendations, almost all companies work with simple recommendations from their online store or content management system today. The limits of such an approach are quickly reached if the product data are not perfectly maintained or if the portal does not have the high visitor numbers of a "Top Ten" store. Nevertheless, with novel technologies such as the stereotype process, you won't have to forgo high-quality recommendations.

Stereotype

During the stereotype process, new visitors are assigned to a cluster of similar users after just a few clicks. This allows the display of individual recommendations after the briefest of time periods. With continued usage, the user's profile is successively adjusted and refined. The self-learning stereotype algorithm used by YOOCHOOSE is the result of many years of research in the T-Laboratories and was registered for a patent.

Collaborative Filtering

A typical example of these Amazon-like recommendations is the "Customers also purchased..." area in online stores. Collaborative processes are easy to implement and can be used efficiently for recommendations. YOOCHOOSE offers you a variety of recommendations that are based on users' purchasing, clicking, reading or rating behavior.

Content-based

Recommendations whose relevance is purely based on the calculated proximity of articles or content are naturally part of YOOCHOOSE's standard repertoire. "Similar items" can be displayed right from the start without a learning phase and independent of user behavior.

Context-dependent

Use the opportunities of context-dependent recommendations. Many areas of application in e-Business and the media environment benefit from recommendations that change with the user's location, the choice of Internet access (mobile/stationary), the time of day and the user's mood.

FREE PILOT OFFER!

If you wish to test the quality of our recommendations, you can try out our free pilot offer for 30 days.
Using simple interfaces, you will be able to access our Cloud Services without the need to set up your own infrastructure.

News

eZ Systems takes over High-Tech Gruenderfonds investment YOOCHOOSE

With the acquisition of the German high-technology start-up, YOOCHOOSE, the Norwegian company eZ Systems AS (www.ez.no) is expanding its content management system, eZ Publish Enterprise, with one of the world’s leading recommendation engines.
(Skien, Norway, 2 November 2011)

eZ acquires YOOCHOOSE

With the acquisition of YOOCHOOSE GmbH, eZ Systems AS can now deliver personalized content through a new visitor recommendation engine.
(Cologne/Skien, Norway – August 9th 2011)

Meet Magento in Leipzig

Meet Magento in Leipzig: YOOCHOOSE presents its Magento extension for personalized recommendations at Meet Magento.
(Cologne, May 2011)