Enterprise Search
With Solr, we go beyond normal full-text searches. I-D Media has extensive experience in Google-like search engines and dynamic web content delivery using Solr.
In addition to the normal use of a full-text search, we go the extra mile with Solr. Apache Solr as a search platform offers a wide range of possible solutions for individual requirements. I-D Media has extensive experience in the development of Google-like search engines and the use of Solr for the dynamic provision of web content.
Content aggregation
We use Solr for the targeted and fast collection and presentation of content that could traditionally come from databases or to aggregate specifically tagged texts, documents and images.
This allows us to react flexibly and quickly to new requirements, compile collections of different content and then output it in an organized manner. This sustainably reduces the workload of the editorial team and bietet gleichzeitig nahezu unbegrenzte Möglichkeiten Inhalte aufzubereiten, zu sortieren, zu filtern und zu facettieren.
Users can thus be provided with data collections that do not initially look like a classic search result.
Your page always shows the current content where it belongs, without being "forgotten".
Cross-platform search
By using crawlers and publication-based indexers, we can compile data across platforms and display it in a bundled search result. A classic example of this is an intranet. An intranet often uses a wide variety of applications based on different technologies.
Employees no longer have to worry about whether what they are looking for can be found in Sharepoint, in the HR tool or on the website
Solutions and experience
We try to go one step further: For example, we expand the standard Suggester to include relevant content, such as products, press releases or contacts that you would like to promote. This enables us to achieve a higher quality of contacts and direct users to the areas of the website that are important to you.
I-D Media offers experience in all areas of implementing a search application:
- Development of parsers & web crawlers
- Installation, design and configuration of the Solr
- Development of backend interfaces to Solr
- Development of front-end search forms
