Connect with Us
Blog: Do More With Search

Posts Tagged ‘Enterprise Search’

Key Components of Planning for Enterprise Search

Written by Agnes Molnar on . Posted in Beyond the Command Line, How-to Guides, Understanding Search

Enterprise Search is one of the topics that required in every organization but sometimes it doesn’t get enough resources. I don’t mean CPU, memory, etc. but human resources during the plan, deploy and configure the search infrastructure and architecture.
Let me summarize some key components that you need to plan if you’d like to deploy an Enterprise Search for your SharePoint.

Enterprise Search: Explicit and Implicit Phrase Matching

Written by Agnes Molnar on . Posted in Beyond the Command Line, Understanding Search

Lately I’ve been asked what the implicit phrase matching exactly means. The answer is pretty long so cannot fit into a tweet so I decided to put it into a blog post…
 
As you know, search functions are based on two major components: crawling/indexing and querying. Query server receives the user queries, build the answer based on the indices, and send it back to the user. The result set contains a set of results, ordered by the ranking of each of them (in FAST Search Server for SharePoint 2010 you can change the sorting property). Ranking algorithms can be very complex, but basically they have some common things. For example, the most important factors of a term’ rank are the frequency and location of keywords.

Best Practices for Delivering Optimal Search Architecture and Topology

Written by Martin Muldoon on . Posted in CIO's Corner, FAST Search, How-to Guides, SharePoint 2010, Understanding Search

Q: We are embarking on a search initiative this year. What best practices can I follow to ensure an optimal search architecture and topology?

Step 1
Your first step is to identify what data you wish to surface through search. You should avoid the temptation to index it all, because with increasing volumes of data relevance will inevitably suffer. Unlike the Internet, the Enterprise has far fewer people willing to take the time to identify relevant content by linking to it which is the key to Google’s relevance ranking algorithm.