E-Commerce Search Strategies:
How Faceted Navigation
and Apache Solr/Lucene
Open Source Search Help Buyers Find
What They Need
A Lucid Imagination White Paper
E-commerce Search Strategies
A Lucid Imagination White Paper • July 2010
A successful store merchandiser knows his/her products and customers. A robust search platform
is an essential tool in applying this knowledge to online merchandising. The ability to quickly and
easily tailor your search solution for your customers means they will quickly find the exact
products they want to buy—a distinct competitive advantage that keeps customers on your site and
increasing conversion rates.
Apache Solr/Lucene—the leading open-source search technology—offers sophisticated capabilities
that help business analysts and online merchandisers improve online sales. This includes:
Tools and capabilities that improve relevance, helping shoppers find what they’re looking for.
Full use of keywords and other metadata, including Boolean logic and phrases, and easily
update this information to accommodate new products and new search strategies.
Helping customers refine searches to discover the products they want using faceting.
Language analysis tools to help improve search results.
Multilingual support, a requirement in the global world of e-commerce.
The ability to promote popular and high-margin products with best bets.
Hinting and assistance techniques, such as auto-suggestion, related searches, more like this,
recommendations, and more.
Solr, the Lucene Search Server, also offers several technical advantages. These include the ability to
get up and running quickly, rapid prototyping and integration, and efficient utilization of servers
and systems. Because Solr/Lucene is open source, software licensing costs remains constant—even
as your site’s search load increases. New re