Description
Sematext's Recommendation Engine learns about users and the
products or content they consume, and can be used to offer users
and customers additional products or content, thus making it
possible to provide users with an enhanced experience on your
site.
Usage examples
- People who Read/Viewed/Bought X, also Read/Viewed/Bought Y
- Because You Read/Viewed/Bought X, You may also want to Read/View/Buy Y
Business Value / Benefits
- Increased sales for ecommerce sites
- Increased ad sales due to increased page views per visit, increased visit frequency, and increased time on site
- Better, personalized user experience
Do You Need It?
How do you determine if Sematext's Recommendation Engine is for you?
- You are an ecommerce web site and would like to have
Amazon.com-like recommendations either solely based on user's
own past consumption of content (or products), or based on
behavior of other users, or the combination of the two
Integration
Integration with any web application is seamless and consists of
two pieces:
- User Beacon
- Recommendation Service
The User Beacon is a simple servlet that collects information
about users' content consumption (e.g. web pages looked at,
products placed in the shopping cart, products purchased, etc.).
It is integrated into pages as a pixel-sized image completely
invisible to users.
The Recommendation Service is a simple servlet with a REST API.
Given a user ID, the service returns a list of recommendations,
ordered by the strength of recommendation specific to the given
user. To display recommendations, a web appplication typically
communicates with this service, gets recommendations for the
given user, and passes them to the user interface layer for
display.
FAQ
Q: Does Recommendation Engine product
work only with Lucene or Solr ?
A: No, Sematext's Recommendation Engine is
vendor neutral - it works with Lucene, Solr, Nutch, Google
Search Appliance, Endeca, FAST ESP, Autonomy, Attivio, Vivismo,
DieselPoint, etc.
|
|