cXense Launches World's First Context-Aware Recommendation Product - cX::recs

Groundbreaking simplicity combined with unparalleled flexibility - new solution for content recommendations is a true game-changer for consumer web sites
By: www.cxense.com/news/cXense-launches-cXrecs.html
 
June 1, 2012 - PRLog -- Oslo, 29th May, 2012 cXense today announced that cX::recs, its new SaaS solution for web content recommendations, is generally available to customers. A select set of cXense customers have participated in real-life testing over a six-month period and provided feedback on product improvements.

Lead developer, Mr. Ragnar Borg said: "cX::recs is a unique solution to the very common problem of providing automatic and highly relevant recommendations of products or content: Unique in that it allows customers to choose between 4 different key methodologies (interest, context, real-time trends, and collaborative filtering) and that every single recommendation is based on real-time data from a web site's content - and user activity."

The results have so far been very promising for our publisher customers: "On average, we see an instant 3-5% increase in page views, and corresponding reductions in bounce rates, by adding cX::recs in a fully automated mode", said Mark Pritchard, SVP of Engineering at cXense, and continued "and through basic best-practices configuration tuning, publishers sometimes are able to double that number."

Because cX::recs can be based on the concept of individual, or group, user interest profiles, purchasing history, content relevance or context, as well as what is trending and "hot", it's making cX::recs a truly universal service that can be used by just about any publisher web site. cX::recs is designed to be deployed without any technical integration effort, and to work seamlessly on any web site.

"In addition to increasing the overall number of page views for example news publishers and e-commerce sites, we also see reduced bounce rates for all categories of site visitors. Our customers statistics also indicate that visitors are generally more engaged and consider the user experience to be better and more relevant than before" said Torbjorn Kanestrom, EVP of Marketing at cXense.

cX::recs leverages cX::analytics, the cXense real-time analytics suite, and the cXense Context Computing Engine™ (CCE™) to automatically collect and use real-time data about user behavior and interests, semantic content data, site traffic and navigation patterns, or other contextual information important to determine what the best recommendation might be.

About cXense

Headquartered in Oslo, Norway, cXense (pronounced [see•sense]) is a global technology company passionate about delivering innovative and intuitive products that help companies build great online user experiences. cXense redefines how companies engage with their customers online by providing services that understand both context and intent, and develop SaaS products for online and mobile advertising, audience profiling and recommendations, search, and analytics.

cXense has offices in Oslo, London, Zurich, Boston, San Francisco, Melbourne, Miami and Tokyo.

For further information about cXense, please visit http://www.cXense.com.
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Source:www.cxense.com/news/cXense-launches-cXrecs.html
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Tags:Content Based Recommendation, Personalized Recommendation, Recommendation Engine
Industry:Internet, Publishing
Location:England
Subject:Products
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