We have just launched version 1.0.0.7 of Geysir Enterprise Search.
As you can see in the above image, two brand new features has been introduced in 1.0.0.7:
1) Search Autocomplete Suggestions - very handy when users are exploring data and they don't really know in advance exactly they need to find. One such example is when they search a term / name / that they do not understand, and they try to find out what that term is. The term has a context and associated keywords. This new feature does just this: takes the current user's query (incomplete) and automatically finds its most important keywords associated with its context, thus helping the user to get better the initial term.
2) Similarity "More Like This..." More precise: Web UI has now a new button – for each document called "More Like This...". This new feature allows that starting from one document to get all similar documents in all categories. By contrast with Danube SIMILARITY – that is multi-node (allows similarity across multiple Geysir instances), "More Like This" is only on current instance but in compensation the later is available both to admin and normal users, while Danube SIMILARITY is only for admin users.
Very common scenario: User type Invoice 34 - an invoice for Client X, Just by clicking on "More Like This" command of the resulted document "Invoice 34", user will obtain instantly ALL Invoices of Client X!
"More Like This" is available in following license types:
a) Basic
b) Professional
c) Enterprise
Whilst Danube SIMILARITY is available only in Enterprise Licenses!
Conclusion:
Enterprise Search should help the users spend less time searching information they need and same time helping them finding answers to questions. Similarity feature helps users to get a large collection of documents similar with a given one and as our example above - is very, very often the case in any company, while Search Suggestions Autocomplete feature helps users to dive and explore large collections of data in same way web search engines do...
Happy Searching,
July Soft Team