PoolParty Search and Recommender
Get relevant results in less time with sophisticated search and recommendations.
PoolParty Search and Recommender comprises a range of search capabilities built on Semantic AI. These applications are highly configurable, allowing the user to display information according to their specific needs. With PoolParty Search and Recommender, users can benefit from knowledge retrieval that understands the user’s natural language, where faceted search helps to narrow down results, and recommendations are based on intent and context.
PoolParty is prized for its ability to integrate with customer applications. Connect PoolParty Search to your CMS and existing projects to find documents with ease.
SoftwareReviews is a research service that collects unbiased reviews of software vendors capabilities and measures them across companies in the industry. In this report, PoolParty received 80% scores or higher in Automation of Metadata, APIs, and Integration capabilities.
Go beyond simple search.
Semantic search relies on enriched metadata to return results based on the diverse range of attributes related to a document. It fetches results that match the meaning of a user query instead of focusing exclusively on the exact words and phrases – behavior that is typically found in less sophisticated engines.
Experience advanced semantic search in a user-friendly graphical interface
Combine the power of graph databases and SPARQL engines
Use the “Concept Display” to see how the tagged concepts relate to each other and let you jump to other topics relevant to your search
Transform and harmonize documents/data into RDF using PoolParty Unified Views so that it can be ready for the GraphSearch application
Filter and narrow down search queries with facets that are based on a taxonomy
Automatically index linked RSS feeds with Solr or Elasticsearch
Get sophisticated content recommendations from a tailor-made recommender system.
Semantic recommender systems are driven by domain, context, and intent, which means that they are highly customizable to an organization’s specific use case. With a PoolParty Recommender, content that is not explicitly related (but still relevant) to the search query can be surfaced; a user can find exactly what they are looking for PLUS benefit from additional helpful information.
Avoid the “cold-start problem” by using structured data and text annotations
Use semantic footprinting and query expansion to get recommendations that are not only based on similarity but implicit connections
Benefit from traceable recommendations to make sound decisions
Incorporate linked data such as Wikidata and/or DBpedia to easily broaden the knowledge model
Factor in multilingualism with bundled concepts
The recommender system acts as a “virtual assistant” that is built for you, and is designed by internal company experts so that it is more precise than others on the market.
Easily set up your configuration in the Workbench.
The PoolParty Workbench makes it easy to configure your search or recommendation space in the backend. A system administrator or user with editing permissions can turn features on/off with a simple click, and decide which factors they want the applications to draw from. These configurations can easily be pushed to a PoolParty ADF frontend.
Choose the PoolParty thesauri and Unified Views repositories you want to run the search space on – you can draw from multiple projects at once
Determine which facets you want to display in the search frontend and how deep in the hierarchy you want the facets to go
Enter the minimum score a concept has to reach to be extracted. The score ranges from 1 to 100 where a higher score means that the concept is more relevant for the processed text
Resolve language ambiguities by drawing upon the connected thesaurus and local context – what would normally take sophisticated coding work, only takes seconds in PoolParty by toggling a lever
Use a corpus and shadow concepts to broaden the scope of the recommendations
Set the languages for multilingual search and recommendations
While it is typically a data scientist or machine learning expert who handles the configuration of such systems, the user-friendly interface of PoolParty can even be used by a subject matter expert, who is typically a non-technical user.
Get started with the Discovery Bundle.
The Discovery Bundle provides robust search and recommendation that draws upon automatic text analysis and consistent tagging capabilities.
This bundle gives you access to the PoolParty Taxonomy Manager + Ontology Management, the PoolParty Extractor, the Recommendor and the GraphSearch API.
Learn more about PoolParty Search and Recommender! Chat with an expert to discuss use cases and see a demo of the tool.