RealTime IT News

Online Bookselling Venture Signs With Net Perceptions

Net Perceptions said that its Net Perceptions for E-Commerce solution has been selected to handle Web site personalization for BOL, the upcoming global online book-selling venture of Bertelsmann AG.

"Net Perceptions will allow us to provide our online customers with knowledgeable, personalized service," said Chip Austin, CEO of BOL. "From the first visit, the software interacts with customers much as an experienced salesperson would, getting to know their individual interests and tastes, then making recommendations accordingly."

BOL's application of Net Perceptions' software represents one of the most extensive uses of the technology, the companies said. Within the limits of its privacy considerations, BOL will employ both implicit and explicit data gathering in order to generate specific customer ratings.

The site will offer customers an array of personalization choices allowing them to get ratings quickly with a Book Chooser function and then continue on to develop a long-term relationship using the BOL Recommendation Center.

"Net Perceptions software learns continually and gets smarter with each customer interaction. Eventually, Net Perceptions' technology will affect the content of each page of the BOL site, tailoring it to the customer's specific tastes," said Steven Snyder, president and CEO of Net Perceptions. "From the first visit, customers can utilize the Book Chooser function, and after entering three authors they like, they will get recommendations of other books they are likely to enjoy."

The site will also offer a unique privacy policy element to users. Customers will be able to update their personalized profiles and revise ratings that were submitted to the site. Customers will also have access to information on their BOL purchasing history.

Incorporated in 1996, Net Perceptions develops online collaborative filtering technology and is the originator of the Realtime Recommendation Platform, which integrates collaborative filtering, neural network, fuzzy logic and genetic algorithm technologies, and automatically applies the optimum technology to whatever recommendation or personalization task is at hand.