Relevancy isn't really about the mathematics of TF, IDF, and other ranking algorithms. Relevancy is about presenting results to the end user in an order that is useful to them. If you're selling paint or hardware, then popularity of your products doesn't change very quickly. But if you are selling CDs, or other products that have very high popularity swings, it's more difficult to judge which products are the most popular today. What are you doing to update your search capabilities so products that are popular today are ranked higher than the products that were popular yesterday?

If you are an online retailer, you have a gold mine in your sales transaction database. You know what products are selling better today than yesterday, and which solid sellers are slowly tailing off. Why not use this transactional information to dynamically adjust relevance?

According to Forrester Research companies use Microsoft Word out of habit, not necessity . The crux of the matter is that "Word has become so entrenched in the enterprise in the last 25 years, organizations cannot easily move off of it".

It goes on to explain how new and emerging web-based tools "make sharing documents and online collaboration more intuitive and easier for users" and are more cost effective.

This is a surprise?