Baynote

From Wikipedia, the free encyclopedia

Baynote is a company based in Silicon Valley, California, USA that provides recommendation services for websites. Websites that use Baynote recommendations are able to display the most appropriate content links, products, videos, or other content to website visitors that result in visitors reaching their online objectives — including product purchases, downloads, and registrations.

Contents

[edit] Technology & Social Science

The company is combining human computer interaction research with software engineering techniques to understand the implicit, emergent behaviors of website visitors. Based on an array of implicit behaviors, Baynote’s technology discerns a user’s intent and dynamically connects them to the products and content based on the collective wisdom of previous visitors with similar interests.

Baynote has built its technology on many of the same social principles as have been popularized by books such as The Long Tail, The Wisdom of Crowds, and Emergence.

[edit] Explicit Approaches to Product and Content Recommendations or Active Filtering

Explicit approaches to address recommendations include studying visitor clickpaths, administering surveys, gathering end-user ratings, and various other forms of polling techniques.

Subject experts are a second mechanism that is sometimes used, whereby an expert manually places links on a page.

[edit] Implicit Approaches to Product and Content Recommendations or Passive Filtering

Implicit approaches, such as the one that Baynote implements, collects the community wisdom that emerges on the web by observing the full-spectrum of user behaviors. This approach is designed to negate the bias issues that surround polling.

See here for a comparison of Active and Passive filtering.

[edit] Company History

The company was founded in 2004 by Jack Jia, Rob Bradshaw, and Dr. Scott Brave and is headquartered in Cupertino, California, USA.


[edit] See also

[edit] References

[edit] External links