How ContextIQ Personalizes Content
ContextIQ is an easy-to-deploy personalization solution that uses collaborative filtering algorithms to produce recommendations. It is capable of suggesting content to users through behavioral targeting. The recommendation engine, which runs on a Hadoop cluster, records user behavior on the site and comes back with a set of recommendations for each user. Show More
Recommendations can be based on
- user’s previous behavior
- user’s behavior on similar items
- previous behaviors of similar users
- random predictions on user preferences
- latest items available on the site
- items similar to what a user searched for
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We are open to discuss any custom prediction/recommendation that your business intelligence team would want. Contact us now to build and deploy your very own recommendation system.