Launching today is Minekey, a recommendation service, incubated in one of India’s top technology institutes. The service delivers highly personalized content recommendations to readers of blogs and websites based on what they are looking at or have read in the past.
Bloggers and publishers can set up the widget to recommend from their own feeds and/or third-party feeds. More than 1,000 bloggers tested out an early beta version of the widget, and many recorded click-through rate improvements exceeding 30%.
What makes Minekey different? Most companies in the recommendations space use collaborative filtering, which looks at aggregated data and “wisdom of crowds” rather than specific interests. Minekeyâ€™s service integrates behavioral targeting, contextual matching, personalization affinity and the collective wisdom of the experts to ensure that users get content specifically relevant to their individual needs,” said James Ryan, VP Market Development, for Minekey.