Federated and Faceted Search

Federated and Faceted Search

Information is not always gathered in a single location: It might be distributed, for example, between your corporate website, a FAQ section and your social media pages. These sources may be separated but each may contain information relevant to a given user query.

Search Highlights

  • Smart and scalable multi-lingual platform with the latest Natural Language Processing Technologies
  • Streamline your Support workflow: lower number of support emails, lower response times, increased customer satisfaction
  • Search feeds that support multiple file formats and third-party platforms for maximum leverage
  • Flexible and wholly customizable UI options
  • Seamless multi-source search and advanced filtering options that allow visitors to pinpoint the most relevant results
  • Powerful E-commerce options to increase conversions and attract repeat customers
  • Advanced semantic identification and conversion of fuzzy meanings, negations and units of measure into meaningful results

Fortunately, you do not need to change anything in your repositories to use our search engine: it is smart enough to look for queries across different sources seamlessly, and merge the results for your visitors in a unified delivery. This is the power of federated search: it allows you to keep your information organized the way you want, while providing your customers with all the data they need to solve their issues or complete their task.

You can set up your federated search with different relevance ratings and values to customize the way results are filtered and presented, and maintain control of your data at all times. Visitors will see the provenance of each result for an informed choice, and better experience.

Faceted search is an advanced semantic search that makes use of filters with attributes called “facets”. These facets are a great tool to sort results and reach the desired information. They can be any term or grammatical part in a sentence, and it allows the search engine to parse natural language to extract the filters from a regular sentence.

You can set different attributes such as color, category, gender or price, and set the system to not only display these filters, but use them for semantic interpretation when visitors enter a query. For example, a customer can search for exactly what they want, like “I want to buy a red bag for my wife under $200”. The information is processed by the system, filtering through the price and the attributes “red”, “handbag” and “wife”, and interpreted to display all red women’s bags for under $200.