If the Web 2.0 phenomenon has taught us anything, it’s been that users want personalized service, and if your goal is to recommend products to your customers, then this is more important than ever. Static recommendations just don’t cut it anymore. If you’re not taking into account the current likes and dislikes of your individual users, then you’re doing them a great disservice, and by basing your recommendations off of past activity, you’re suggesting that your users should live in the past instead of the present. Do you think that’s what they really want to do? Think again.

Criteo has built a recommendation engine that would be an invaluable addition to any Web site that is in need of a personalized and collaborative recommendation component. First, users give their opinion on a collection of items by rating them, and from there, they’ll be able to find other people who share their tastes in a similar way, with the ultimate outcome being that they’ll receive personal recommendations in a dynamic way. Developers who are interested in testing their data with the Criteo engine can create a free developer account and then use the comprehensive Criteo Quick Start API Documentation as a reference to help them start integrating the service into their product. The engine is accessible via a Web service, so developers will feel right at home when working on their custom Criteo configuration.

[tags]Criteo, Web 2.0, Recommendations, Recommendation Engine, Collaboration, Developers, Web Service[/tags]